Na literatura há vários trabalhos elucidando a importância de ferramentas para auditar malhas de controle. Na indústria, o interesse por esse tipo de software é crescente, devido ao benefício trazido: garantir o exato desempenho para cada controlador significa atingir pontos de operação mais lucrativos. Todavia, as metodologias disponíveis na literatura e nas ferramentas comerciais não provêm medidas conclusivas das características da malha. Conseqüentemente, a análise muitas vezes é confusa e difícil, acarretando um diagnóstico difícil. Reduzir a distância entre a auditoria e o diagnóstico, propondo novas métricas para ajudar o engenheiro no gerenciamento de malhas é o foco central deste trabalho. A presente tese é segmentada em duas partes: auditoria e diagnóstico, dentro das quais se inserem as principais contribuições deste trabalho. A primeira contribuição deste trabalho é a proposição de uma metodologia para decompor o impacto da velocidade do controlador, tempo morto e ruído branco sobre a variância total da malha, auxiliando o engenheiro de processos a tomar uma ação: trocar os parâmetros de ajuste, aumentar a ordem do controlador, substituir o medidor, reduzir o tempo morto, entre outros. O método proposto requer apenas dados de operação normal e o tempo morto da malha, não sendo necessários testes intrusivos, sendo possível a aplicação industrial. O conjunto de métricas propostas foi aplicado em três casos de estudo, fornecendo resultados promissores. Dentro do campo de auditoria, se insere a segunda contribuição: a proposição de uma metodologia para estimação de parâmetros conclusivos (ou determinísticos) para avaliação da performance e robustez de controladores (Máxima Sensibilidade, razão entre o tempo de subida de malha aberta e fechada, razão entre o tempo de assentamento de malha aberta e fechada, entre outros), baseado em índices estocásticos (i.e. métricas que podem ser computadas em tempo real, sem testes intrusivos) e parâmetros da malha (tempo morto, constante de tempo). O modelo de inferência para desempenho e robustez, chamado PRIM, é proposto. Este modelo fornece uma clara indicação do real desempenho e robustez da malha, facilitando a análise e tornando o diagnóstico direto. Além disso, visando elucidar a vantagem dos índices determinísticos sobre os estocásticos, ambos serão aplicados a um conjunto de casos de estudo. A última contribuição no campo de auditoria está na estimação do potencial impacto econômico de cada malha, como ferramenta para hierarquizar sua manutenção. Considerando que uma típica planta química possui centenas ou milhares de malhas e que a maioria delas possui significativo potencial de melhora, a priorização da manutenção é essencial. O impacto econômico é baseado no conceito de Matriz de Variabilidade (VM), que é uma matriz que mostra o impacto da melhora da performance de um controlador sobre a variabilidade de toda a planta. A segunda parte deste trabalho aborda o diagnóstico de algumas avarias comuns em controladores. A primeira metodologia visa quantificar a banda de agarramento em válvulas de controle, que apresentam este fenômeno, através de um modelo de inferência chamado SIM. A metodologia proposta requer apenas dados de operação normal do controlador e planta. A contribuição final deste trabalho é um método simples para avaliação do modelo em controladores preditivos MPCs, baseado na Análise de Componentes Independentes (ICA). Esta análise é bastante útil para indicar os canais que possuem modelo pobre em relação à planta. O trabalho finaliza com as conclusões finais e os trabalhos futuros relativos a esta tese. / Many works available in the literature support the importance of control loop performance assessment (CLPA) tools. Industrially, there is an increasing interest in this area and the reason is trivial: ensuring the exact performance for each loop means allowing it to operate in a high profitable operating point. However, the available methodologies in commercial tools and literature do not provide clear and conclusive metrics of the actual loop performance. Consequently, the diagnostics is not easy, making the analysis sometimes difficult and confusing. The aim of this thesis is to reduce the gap between assessment and diagnostics by proposing a set of metrics to help the engineer in control loop performance management. The thesis is divided into two sections: Assessment and Diagnostic. The first contribution of this work is the proposition of a new methodology to decompose the impact of control loop performance, time delay, and white noise in the total control loop variance, helping the engineer to diagnose the loop performance problem and take the right action to achieve the desired product variability (by changing tuning parameters, changing controller type, replacing instrument, or changing the process, among others). The proposed method does not require any invasive tests, only control loop routine operating data and process time delay, allowing the industrial application of the proposed indices in real time. The methodology was applied in three case studies, providing very good results. The second contribution is propose a methodology to estimate conclusive indices (also called deterministic indices) to evaluate loop performance and robustness (maximal sensitivity, ratio between open and closed loop rise time, settling time, among others), based on stochastic indices (i.e. indices that can be computed using only normal operating data) and process parameters (time delay and time constant). A performance and robustness inferential model (PRIM) for loop assessment will be shown. The PRIM provides a clear picture of loop performance and robustness, making the analysis easier and the diagnostics straightforward. Moreover, this section highlights the limitation and drawbacks of stochastic metrics for CLPA. The last contribution of the Assessment section proposes a method to prioritize loop maintenance, based on the economic impact of each loop. Assuming that a typical process plant has hundreds or thousands of loops and most of them have significant impact over loop variability, prioritizing loop maintenance is essential. The economic impact is based on the concept of Variability Matrix (VM), which is an array that shows the impact of performance improvement of a given loop on the whole plant. The second section of this work is the Diagnostics of some controller problems. The first methodology aims to quantify the stickband in a sticky valve, using only normal operating data of controller output and process variable. An analogous inference model, called Stiction Inference Model (SIM), is proposed to estimate the stickband. In the final contribution, it is proposed a simple method to evaluate the Model Plant Mismatch (MPM) based on Independent Component Analysis (ICA). This analysis is very useful to point out the poor channels models in Model Predictive Controllers. The work ends with concluding remarks and further work.

Na literatura há vários trabalhos elucidando a importância de ferramentas para auditar malhas de controle. Na indústria, o interesse por esse tipo de software é crescente, devido ao benefício trazido: garantir o exato desempenho para cada controlador significa atingir pontos de operação mais lucrativos. Todavia, as metodologias disponíveis na literatura e nas ferramentas comerciais não provêm medidas conclusivas das características da malha. Conseqüentemente, a análise muitas vezes é confusa e difícil, acarretando um diagnóstico difícil. Reduzir a distância entre a auditoria e o diagnóstico, propondo novas métricas para ajudar o engenheiro no gerenciamento de malhas é o foco central deste trabalho. A presente tese é segmentada em duas partes: auditoria e diagnóstico, dentro das quais se inserem as principais contribuições deste trabalho. A primeira contribuição deste trabalho é a proposição de uma metodologia para decompor o impacto da velocidade do controlador, tempo morto e ruído branco sobre a variância total da malha, auxiliando o engenheiro de processos a tomar uma ação: trocar os parâmetros de ajuste, aumentar a ordem do controlador, substituir o medidor, reduzir o tempo morto, entre outros. O método proposto requer apenas dados de operação normal e o tempo morto da malha, não sendo necessários testes intrusivos, sendo possível a aplicação industrial. O conjunto de métricas propostas foi aplicado em três casos de estudo, fornecendo resultados promissores. Dentro do campo de auditoria, se insere a segunda contribuição: a proposição de uma metodologia para estimação de parâmetros conclusivos (ou determinísticos) para avaliação da performance e robustez de controladores (Máxima Sensibilidade, razão entre o tempo de subida de malha aberta e fechada, razão entre o tempo de assentamento de malha aberta e fechada, entre outros), baseado em índices estocásticos (i.e. métricas que podem ser computadas em tempo real, sem testes intrusivos) e parâmetros da malha (tempo morto, constante de tempo). O modelo de inferência para desempenho e robustez, chamado PRIM, é proposto. Este modelo fornece uma clara indicação do real desempenho e robustez da malha, facilitando a análise e tornando o diagnóstico direto. Além disso, visando elucidar a vantagem dos índices determinísticos sobre os estocásticos, ambos serão aplicados a um conjunto de casos de estudo. A última contribuição no campo de auditoria está na estimação do potencial impacto econômico de cada malha, como ferramenta para hierarquizar sua manutenção. Considerando que uma típica planta química possui centenas ou milhares de malhas e que a maioria delas possui significativo potencial de melhora, a priorização da manutenção é essencial. O impacto econômico é baseado no conceito de Matriz de Variabilidade (VM), que é uma matriz que mostra o impacto da melhora da performance de um controlador sobre a variabilidade de toda a planta. A segunda parte deste trabalho aborda o diagnóstico de algumas avarias comuns em controladores. A primeira metodologia visa quantificar a banda de agarramento em válvulas de controle, que apresentam este fenômeno, através de um modelo de inferência chamado SIM. A metodologia proposta requer apenas dados de operação normal do controlador e planta. A contribuição final deste trabalho é um método simples para avaliação do modelo em controladores preditivos MPCs, baseado na Análise de Componentes Independentes (ICA). Esta análise é bastante útil para indicar os canais que possuem modelo pobre em relação à planta. O trabalho finaliza com as conclusões finais e os trabalhos futuros relativos a esta tese. / Many works available in the literature support the importance of control loop performance assessment (CLPA) tools. Industrially, there is an increasing interest in this area and the reason is trivial: ensuring the exact performance for each loop means allowing it to operate in a high profitable operating point. However, the available methodologies in commercial tools and literature do not provide clear and conclusive metrics of the actual loop performance. Consequently, the diagnostics is not easy, making the analysis sometimes difficult and confusing. The aim of this thesis is to reduce the gap between assessment and diagnostics by proposing a set of metrics to help the engineer in control loop performance management. The thesis is divided into two sections: Assessment and Diagnostic. The first contribution of this work is the proposition of a new methodology to decompose the impact of control loop performance, time delay, and white noise in the total control loop variance, helping the engineer to diagnose the loop performance problem and take the right action to achieve the desired product variability (by changing tuning parameters, changing controller type, replacing instrument, or changing the process, among others). The proposed method does not require any invasive tests, only control loop routine operating data and process time delay, allowing the industrial application of the proposed indices in real time. The methodology was applied in three case studies, providing very good results. The second contribution is propose a methodology to estimate conclusive indices (also called deterministic indices) to evaluate loop performance and robustness (maximal sensitivity, ratio between open and closed loop rise time, settling time, among others), based on stochastic indices (i.e. indices that can be computed using only normal operating data) and process parameters (time delay and time constant). A performance and robustness inferential model (PRIM) for loop assessment will be shown. The PRIM provides a clear picture of loop performance and robustness, making the analysis easier and the diagnostics straightforward. Moreover, this section highlights the limitation and drawbacks of stochastic metrics for CLPA. The last contribution of the Assessment section proposes a method to prioritize loop maintenance, based on the economic impact of each loop. Assuming that a typical process plant has hundreds or thousands of loops and most of them have significant impact over loop variability, prioritizing loop maintenance is essential. The economic impact is based on the concept of Variability Matrix (VM), which is an array that shows the impact of performance improvement of a given loop on the whole plant. The second section of this work is the Diagnostics of some controller problems. The first methodology aims to quantify the stickband in a sticky valve, using only normal operating data of controller output and process variable. An analogous inference model, called Stiction Inference Model (SIM), is proposed to estimate the stickband. In the final contribution, it is proposed a simple method to evaluate the Model Plant Mismatch (MPM) based on Independent Component Analysis (ICA). This analysis is very useful to point out the poor channels models in Model Predictive Controllers. The work ends with concluding remarks and further work.

Na literatura há vários trabalhos elucidando a importância de ferramentas para auditar malhas de controle. Na indústria, o interesse por esse tipo de software é crescente, devido ao benefício trazido: garantir o exato desempenho para cada controlador significa atingir pontos de operação mais lucrativos. Todavia, as metodologias disponíveis na literatura e nas ferramentas comerciais não provêm medidas conclusivas das características da malha. Conseqüentemente, a análise muitas vezes é confusa e difícil, acarretando um diagnóstico difícil. Reduzir a distância entre a auditoria e o diagnóstico, propondo novas métricas para ajudar o engenheiro no gerenciamento de malhas é o foco central deste trabalho. A presente tese é segmentada em duas partes: auditoria e diagnóstico, dentro das quais se inserem as principais contribuições deste trabalho. A primeira contribuição deste trabalho é a proposição de uma metodologia para decompor o impacto da velocidade do controlador, tempo morto e ruído branco sobre a variância total da malha, auxiliando o engenheiro de processos a tomar uma ação: trocar os parâmetros de ajuste, aumentar a ordem do controlador, substituir o medidor, reduzir o tempo morto, entre outros. O método proposto requer apenas dados de operação normal e o tempo morto da malha, não sendo necessários testes intrusivos, sendo possível a aplicação industrial. O conjunto de métricas propostas foi aplicado em três casos de estudo, fornecendo resultados promissores. Dentro do campo de auditoria, se insere a segunda contribuição: a proposição de uma metodologia para estimação de parâmetros conclusivos (ou determinísticos) para avaliação da performance e robustez de controladores (Máxima Sensibilidade, razão entre o tempo de subida de malha aberta e fechada, razão entre o tempo de assentamento de malha aberta e fechada, entre outros), baseado em índices estocásticos (i.e. métricas que podem ser computadas em tempo real, sem testes intrusivos) e parâmetros da malha (tempo morto, constante de tempo). O modelo de inferência para desempenho e robustez, chamado PRIM, é proposto. Este modelo fornece uma clara indicação do real desempenho e robustez da malha, facilitando a análise e tornando o diagnóstico direto. Além disso, visando elucidar a vantagem dos índices determinísticos sobre os estocásticos, ambos serão aplicados a um conjunto de casos de estudo. A última contribuição no campo de auditoria está na estimação do potencial impacto econômico de cada malha, como ferramenta para hierarquizar sua manutenção. Considerando que uma típica planta química possui centenas ou milhares de malhas e que a maioria delas possui significativo potencial de melhora, a priorização da manutenção é essencial. O impacto econômico é baseado no conceito de Matriz de Variabilidade (VM), que é uma matriz que mostra o impacto da melhora da performance de um controlador sobre a variabilidade de toda a planta. A segunda parte deste trabalho aborda o diagnóstico de algumas avarias comuns em controladores. A primeira metodologia visa quantificar a banda de agarramento em válvulas de controle, que apresentam este fenômeno, através de um modelo de inferência chamado SIM. A metodologia proposta requer apenas dados de operação normal do controlador e planta. A contribuição final deste trabalho é um método simples para avaliação do modelo em controladores preditivos MPCs, baseado na Análise de Componentes Independentes (ICA). Esta análise é bastante útil para indicar os canais que possuem modelo pobre em relação à planta. O trabalho finaliza com as conclusões finais e os trabalhos futuros relativos a esta tese. / Many works available in the literature support the importance of control loop performance assessment (CLPA) tools. Industrially, there is an increasing interest in this area and the reason is trivial: ensuring the exact performance for each loop means allowing it to operate in a high profitable operating point. However, the available methodologies in commercial tools and literature do not provide clear and conclusive metrics of the actual loop performance. Consequently, the diagnostics is not easy, making the analysis sometimes difficult and confusing. The aim of this thesis is to reduce the gap between assessment and diagnostics by proposing a set of metrics to help the engineer in control loop performance management. The thesis is divided into two sections: Assessment and Diagnostic. The first contribution of this work is the proposition of a new methodology to decompose the impact of control loop performance, time delay, and white noise in the total control loop variance, helping the engineer to diagnose the loop performance problem and take the right action to achieve the desired product variability (by changing tuning parameters, changing controller type, replacing instrument, or changing the process, among others). The proposed method does not require any invasive tests, only control loop routine operating data and process time delay, allowing the industrial application of the proposed indices in real time. The methodology was applied in three case studies, providing very good results. The second contribution is propose a methodology to estimate conclusive indices (also called deterministic indices) to evaluate loop performance and robustness (maximal sensitivity, ratio between open and closed loop rise time, settling time, among others), based on stochastic indices (i.e. indices that can be computed using only normal operating data) and process parameters (time delay and time constant). A performance and robustness inferential model (PRIM) for loop assessment will be shown. The PRIM provides a clear picture of loop performance and robustness, making the analysis easier and the diagnostics straightforward. Moreover, this section highlights the limitation and drawbacks of stochastic metrics for CLPA. The last contribution of the Assessment section proposes a method to prioritize loop maintenance, based on the economic impact of each loop. Assuming that a typical process plant has hundreds or thousands of loops and most of them have significant impact over loop variability, prioritizing loop maintenance is essential. The economic impact is based on the concept of Variability Matrix (VM), which is an array that shows the impact of performance improvement of a given loop on the whole plant. The second section of this work is the Diagnostics of some controller problems. The first methodology aims to quantify the stickband in a sticky valve, using only normal operating data of controller output and process variable. An analogous inference model, called Stiction Inference Model (SIM), is proposed to estimate the stickband. In the final contribution, it is proposed a simple method to evaluate the Model Plant Mismatch (MPM) based on Independent Component Analysis (ICA). This analysis is very useful to point out the poor channels models in Model Predictive Controllers. The work ends with concluding remarks and further work.

Magister Administrationis - MAdmin / This research proposed to look at quality standards of evaluations in economic and financial respect undertaken on behalf of the European Commission in order to assess the performance of its development assistance in a policy-driven context. the research found that evaluation on the basis of an individual project is often flawed and lacks quality in terms of the applied evaluation method. / South Africa

Over recent years, political, technological, environmental and economic factors have combined to increase interest in distributed energy resources (DER), and flexibility in the power system. As a resource which is both distributed and flexible, flexible demand (FD) can be considered to be particularly of interest. However, due to many facets of its nature, understanding the available flexibility, and potential value of that flexibility, is difficult. Further, understanding the effects of FD exploitation on other multi-energy system actors, given the complex nature of modern liberalised energy systems, complicates the picture further. These factors form material obstructions to the assessment of FD, for example, for the construction of business cases. To address these gaps this thesis first assesses the nature and value of various applicable current and potential markets and charging/incentive regimes, before detailing a novel multi-energy domestic demand simulation model, capable of modelling, in detail, domestic FD resources. Subsequently, a multi-commodity stochastic energy/reserve optimisation model, capable of modelling various DERs and taking into account price signals related to various energy-related commodities and services (including user utility) is specified. The separation of price components for application at different aggregation levels, which is applied in the optimisation model, also informs the described value mapping methodology, which illustrates the impacts of any, particularly demand-side, intervention on the wider multi-energy system. The power of the above detailed contributions are demonstrated through various studies, which show the physical and economic impact of various demand side interventions and of greater market participation by FD resources.

The grave concern over climate change threat and different economic incentives such as the clean development mechanism have given more weight to the potential of projects for reducing greenhouse gas emissions. In Adjara solid waste management project, even though the greenhouse gas reduction was acknowledged, it was not one of the key factors for selecting the most practicable treatment option. In doing so, the study was addressed the benefit of various solid waste treatment methods for Adjara project in terms of greenhousegas emissions reduction. It is followed by analyzing the economic impacts of carbon finance on the financial feasibility of the project according to different economic scenarios. In considering the solid waste treatment technologies that could be suitable for developing countries, seven options were focused in the study: the baseline of open dumping, four options for landfill (no provision of landfill gas capture, landfill gas capture with open flaringsystem, enclosed flaring system and electricity generation), composting and an aerobicdigestion with electricity production. The applicable CDM methodologies were adopted toquantify the amount of reductions for scenarios. Anaerobic digestion scenario had by far thegreatest amount of reduction. In versely, the worst scenario was landfill without landfill gasrecovery which had even more contribution to climate change than the base case. In the economic assessment part, the internal rate of return was adopted as financial indicator and the feasibility study of the project was adjusted according to new economic condition in the presence of carbon finance. The scenario with additional incomes from the sales of both certified emission reductions and electricity maximized the profits of theproject. In case the project partners do not consider the possibility for generating electricity,they can maintain the project’s economic position through the sale of certified emissionreductions instead of the income from selling electricity. These conclusions were tested for uncertainty and sensitivity by modifying the price of the certified emission reductions and the input waste composition and were found to be robust. / <p>www.ima.kth.se</p><p>External cooperation with SWECO</p>

Hydropower is a fundamental pillar in the Swedish energy system and accounts for a large part of the Swedish electricity production. The regulation power is also essential for balancing the grid load.  Fortum is one of the leading energy companies within hydropower and Klarälven is a river with high importance, where Fortum owns and operates nine powerplants. These power plants constitute a barrier for the wild salmonids in Klarälven, which need to migrate upstream to reach their spawning area. Since the 1930s, the spawning salmonids have been trapped and transported upstream by lorry. After the spawning period, the smolts and kelts, i.e. the juvenile and spawned salmonids, have to migrate downstream. Due to the lack of fishways, they are forced to pass the eight remaining power plants. This, together with predation, entails a high mortality rate. Two independently performed studies indicates on survival rates of 16 % and 30 %. To stabilize the wild salmonid population, the downstream survival must increase, and a proposed solution is to implement a downstream trap-and-transport solution. This trap implementation could be a step towards the environmental adaptation of hydropower and a part of the action plan proposed in June 2016, during the Agreement on Swedish energy policy. To find the most cost-beneficial environmental measure, a socio-economic assessment method can be used. A Cost-Benefit Analysis (CBA) is a commonly used socio-economic method, which evaluates the benefits and costs during the entire project lifetime. Energiforsk has, within the project FRAM-KLIV, developed a CBA tool that aims to simplify the socio-economic evaluation. The purpose of this thesis was to investigate whether the CBA tool can be used in future permit processes to prioritize between different project proposals to find the most beneficial environmental improvements. In order to evaluate the tool, it was to be applied on the trap-and-transport project in Edsforsen to evaluate the possibility of a socio-economic profitability. Also, the concepts and theory behind CBA was to be analysed and the suitability of translating environmental consequences into monetary values was to be evaluated. In the analysis of Edsforsen, 13 scenarios were developed. The first scenario served as a basis for the other scenarios, which were created as a sensitivity analysis. The result of the CBA showed a large socio-economic benefit and the most important parameter was identified as people’s willingness to pay for an increase of the wild salmonid stock in Klarälven. In the CBA, this parameter had a high uncertainty, as it was based on a survey performed for another project in another part of Sweden. It was found that in order for the socio-economic result to be positive, all households in Sweden must be willing to pay at least 35 SEK. As a complement to the CBA result, an evaluation regarding the marginal cost per fish was performed and an interval of 50-580 SEK per smolt was obtained. However, the calculations were based on several uncertainties and the interval should therefore be interpreted as a guideline rather than a precise result. It was concluded that in situations when a socio-economic analysis is required, and when it is possible to express consequences in monetary values, the method of CBA is appropriate. It is also a suitable methodology for evaluations of large projects, as it provides a comprehensible overview of the costs and the benefits. Despite the criticism directed towards CBA regarding uncertainties and its anthropogenic perspective, it could be concluded that using CBA as a socio-economic assessment method provides a perspicuous and quantitative result. Thus, the usage of CBA in prioritization processes of different environmental measures can be highly useful. Energiforsk’s CBA tool provides a framework with guidelines that can be highly useful and accelerate the analysis process. However, the performance of the tool version used in this thesis was not fully satisfactory due to a few malfunctions. The tool is still under development and it is likely that these errors will be adjusted in future versions. If the malfunctions in the tool would be adjusted, it could become useful for authorities, companies and other actors that wants to evaluate hydropower related environmental measures or when prioritizing between different project proposals to find the most beneficial environmental improvements in future permit processes.

Global carbon emissions are higher than ever before and in the last decade of 21st century, focus has shifted on reducing these emissions in various ways possible. Carbon capture, utilization and storage (CCUS) has been identified as one of the important ways to reduce carbon emissions and meet climate targets. For a long time, Sweden has promoted the use of biomass as fuel for heat and power generation which has enabled it to meet its climate targets earlier than projected. Now, major Swedish energy companies are looking into coupling exiting biomass fired heat and power plants with CCUS. This opens up the possibility of attaining negative emissions, also known as Bio Energy Carbon Capture and Storage (BECCS). With the right policy framework in place, BECCS can be a major boon and help Sweden attaining net zero carbon emissions. As a contribution in meeting net zero targets, this thesis is aimed to evaluate the installation of a carbon capture plant to abate flue gas emissions from District heating facility in Jordbro which is a ~70 MW (fuel) CHP plant running on biomass.  Among the available carbon capture technologies, Calcium oxide-based carbon capture has been expected to show great promise due to its lower environmental impacts and possibility to extract high quality energy when installed. Hence a concept system for integration calcium looping at Jordbro has been developed through the use of modeling tools like ASPEN. A techno economic assessment was needed to be performed to give conclusive results on the overall viability of the process. Further, key process indicators like energy penalty, plant footprint and cost of capture per tonne of CO2 were identified for making the final evaluation. Finally, through a strategic collaboration with SaltX, major process improvements were introduced and applied to the modeled process.  It was concluded that with the current average flowrates at Jordbro it was possible to capture 154,000 tonnes of CO2 annually. The required amount of energy input to the calciner is 48MW (7.29 MW/kg-CO2 captured) which is one of the major findings of this study. Even though a significant amount of heat is recovered, the main boiler is not capable of producing heat over 900 οC and additional biomass needs to be combusted, leading to an additional CO2 emission of about 125 000 tonnes annually. Considering an optimal integration, the energy penalties became 6.25 %.  However, the plant footprint increased substantially due to requirement for burning additional biomass in the regeneration reactor and addition of several auxiliary units that come along with calcium-based carbon capture. Further, the total capital investment for this project is 1,219 MSEK with reactor costs being most capital intensive. Assuming a plant life of 25 years, the cost of capture per tonne of CO2 (excluding the costs for carbon transport and storage) was evaluated at 988 SEK, which is 58% higher than the reference Mono-ethanol amine based chemical absorption case. The innovative improvements from SaltX substantially reduced the plant footprint but capture costs did not reduce since material transport costs proved to be the major bottleneck.  Upon comparison of this technology with the amine-based technology it was found that Calcium oxide-based carbon capture would need further research and improvements to be more viable than amine-based carbon capture. Integration of thermal energy storage and process intensification can be the possible paths for further improvement.

The Paris Agreement has ambitious targets to limit the global warming below 1.5 °Cin the 21st century. This goal is reflected in the national climate targets, for example, Sweden aims to achieve net zero greenhouse gas emissions by 2045, and thereafter achieve negative emissions. One of the pivotal ways to achieve these goals is by applying the mature bioenergy with carbon capture and storage (BECCS) technology to large-scale industries that emit CO2. Around 6% of the global emissions arise from the pulp and paper industry making them one of the largest localized emitters of biogenic CO2. This makes them suitable for retrofitting BECCS technologies and post-combustion capture (PCC) is one among them. This study presents a techno-economic assessment of an absorption-based PCC unit in SCA Östrand pulp mill. Chemical absorption using MEA and chilled ammonia process (CAP) using NH3 as the solvent are considered in this study. For both the processes, mass and energy balances using Aspen HYSYS were done and validated against published data in literature. Heat integration by applying excess or waste heat from the mill is also considered in this work. CO2 capture from flue gas originating from various emission sources in the mill (recovery boiler, lime kiln and multi-fuel boiler) are considered in different combinations in the analysis. The main key performance indicator (KPI) evaluated in this work is the cost of CO2capture for all the different cases for both the MEA- and chilled NH3-based absorption processes. The minimum cost of CO2 capture for MEA-based absorption process was found to be in the range 37-41 €/tCO2 and for CAP, it was found to be in the range 73-81 €/tCO2. For MEA-based absorption process, the excess low pressure steam from the mill satisfies the steam demand in all the cases, except the one where CO2 is captured from all the three emission sources. For CAP, sufficient excess low pressure steam is present in the mill for all the capture cases due to a lower reboiler duty compared to MEA-based absorption process. An optimal process configuration and capture scenario for the existing design conditions in the mill are derived and justified. A sensitivity analysis was carried out to find the associated bottlenecks from the breakdown of the cost of CO2 capture for each process. The overall BECCS cost is also sensitive to CO2 transport &amp; storage costs. However, it is also clear that incentives for negative emissions will make BECCS an attractive solution for the pulp and paper industry.

Biogas is of growing interest in Sweden, and a public inquiry suggested the government to set a goal of producing 10 TWh biogas in 2030 although only 2 TWh biogas was produced in Sweden in 2018 (Regeringskansliet, 2019) (Klackenberg, 2019). To achieve this optimistic goal and to meet the increased demand of biogas, new biogas production facilities needs to be built. The purpose of this report is to investigate the economic feasibility for the development of a biogas recovery process adjoined to an incineration facility in Sweden. The report first gives an overview of the largest incineration facilities in Sweden. The largest quantity of food waste was estimated in Gothenburg to be 56´744 WRQ SeU \eaU. For the economic feasibility, a conceptual facility was constructed with 169´000 ton residual waste per year of which 45´000 ton was food waste. A biogas process model was built in Excel where the biogas potential was calculated using characteristics for food waste. The annual production of liquid biogas was estimated to 43´970 MWK. The economic evaluation was based on the conceptual facility. In the baseline scenario the incomes for the process was the value of liquid biogas, 25,6 MSEK per year, a Gate-fee synergy of 5 MSEK per year and a Tax deduction synergy of 1 MSEK per year. The investment cost was estimated to 211,6 MSEK and the Operation &amp; Maintenance cost was estimated to 6,3 MSEK per year. This resulted in an NPV of 69,5 MSEK and an IRR of 10,3% for the project, indicating a profitable investment. Three different scenarios were considered, apart from the baseline scenario, where the first excluded all synergies with the incineration facility, which generated an NPV of 2,3 MSEK. The second scenario only considered the minimal gate-fee synergy which gave an NPV of 37,8 MSEK. Finally, the third scenario where all synergies were included, and an additional investment grant was introduced gave the project an NPV of 111,8 MSEK. A sensitivity analysis was also conducted which showed that the input of food waste treated, weighted average cost of capital and potential grants had the biggest impact on the financial results. None of the results from the sensitivity analysis showed a negative NPV. / Intresset för biogas växer i Sverige och i en statlig utredning föreslogs regeringen att sätta upp ett mål att producera 10 TWh biogas 2030 (Regeringskansliet, 2019). Detta kan jämföras med 2018 då endast 2 TWh producerades (Klackenberg, 2019). För att uppnå detta optimistiska mål och för att möta den ökade efterfrågan på biogas behöver nya produktionsanläggningar byggas. Syftet med denna rapport är att undersöka de ekonomiska möjligheterna för utvecklingen av en biogasanläggning angränsad till en förbränningsanläggning i Sverige. Rapporten ger först en översikt över de största förbränningsanläggningarna som behandlar hushållsavfall i Sverige. Det uppskattades att den största mängden matavfall som går till förbränning i Sverige är i Göteborg där 56´744 ton matavfall förbränns per år. För att bestämma de ekonomiska förutsättningarna konstruerades en konceptuell anläggning som behandlar 169´000 ton restavfall per år varav 45 000 ton består av matavfall. En biogasprocess modellerades i Excel där den potentiella biogasen beräknades baserat på matavfallets karaktäristik. Slutligen uppskattades den årliga produktionen av flytande biogas till 43´970 MWh. Den ekonomiska utvärderingen baserades på den konceptuella anläggningen. I grund-scenariot bestod inkomsterna för av den flytande biogasen som motsvarade 25,6 MSEK per år, en ´gatefee´-synergi på 5 MSEK per år och en ´skatteavdrags´-synergi motsvarande 1 MSEK per år. Investeringskostnaden uppskattades till 211,6 MSEK och Operation &amp; Maintenancekostnaderna uppskattades till 6,3 MSEK. Detta gav projektet ett nettonuvärde på 69,5 MSEK och en internränta på 10,3% vilket indikerar en lönsam investering. Vidare undersöktes även tre olika scenarier, utöver grund-scenariot, där det första utesluter alla synergier vilket gav ett nettonuvärde på 2,3 MSEK. Det andra scenariot beaktade endast den minimala ´gate-fee´-synergin vilket gav ett nettonuvärde på 37,8 MSEK. Det tredje scenariot inkluderade alla synergier samt ett investeringsbidrag vilket resulterade i ett nettonuvärde på 111,8 MSEK. En känslighetsanalys genomfördes också som visade att tillförseln av behandlat matavfall, kapitalkostnaden och potentiella investeringsbidrag hade den största påverkan på de finansiella resultaten. Inget av resultaten från känslighetsanalysen visade ett negativt nettonuvärde.