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Beim Entwurf großer Netzwerke der Automation ermöglichen Methoden der Leistungsbewertung den Test und die Dimensionierung eines Netzwerkes bereits vor der Inbetriebnahme und erlauben damit einen effizienten, qualitätsorientierten Entwurf. Es ist jedoch sehr wissensintensiv und aufwendig, entsprechende Analyse- oder Simulations-Modelle aufzustellen und die Ergebnisse auszuwerten, weshalb die Methoden in der Praxis der Automation selten verwendet werden. Viel vertrauter sind dem Entwerfer hingegen die speziellen Software-Tools, mit denen in der Automation Netzwerke entworfen werden. Auf Basis der Datenbanken dieser Tools werden in dieser Arbeit verschieden Verfahren zur automatischen Systemmodellierung, Verkehrsmodellierung, Leistungsbewertung und Fehlerdiagnose zu einem Control Network Performance Engineering kombiniert, welches die Qualitätsbewertung und -beratung nahtlos und ohne Mehraufwand in den Netzwerkentwurf integriert. (Die Dissertation wurde veröffentlicht im Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Internet: http://www.vogtverlag.de/, email: info@vogtverlag.de, ISBN 978-3-938860-10-6) / During the design of large automation networks, performance analysis methods can be used for testing and dimensioning the network before implementation and are essential for an efficient and reliable design process. However, setting up the necessary analytical or simulative models is time-consuming, requires in-depth knowledge, and is therefore often not applicable in practice. The network designers are much more used to the design tools used to develop automation networks. Based on these tools' databases various methods for automated system and traffic modeling, performance analysis and diagnoses are combined in the control network performance engineering that seamlessly integrates quality analysis and consulting into network design without requiring additional effort. (This manuscript is also available - in the form of a book - from Jörg Vogt Verlag, Voglerstr. 20, 01277 Dresden, Germany world-wide web address: http://www.vogtverlag.de/, electronic-mail address: info@vogtverlag.de, ISBN 978-3-938860-10-6 )

Energy storage development is an important step for the energy transition, meanwhile Lithium-ion battery is the most common core component of electric vehicles. Over the past decade, investment has been poured into lithium-ion battery production, as a result, the production environment (Clean & Dry room) used for some processes such as Stacking, Electrolyte filling and so on and the energy consumption to maintain this special environment which precise control of air humidity and air cleanliness have become major concerns. In this study, only one production process is concerned: electrolyte filling. During this process, Volatile Organic Compounds(VOCs) are the substance that affects air quality, also it is the reason that no air recovery in this Clean&Dry room before investigating the air quality, which leads to huge energy consumption for treating 100% fresh air.  The main purpose of this thesis is studying the Volatile Organic Compounds(VOCs) distribution in the Clean&Dry room with electrolyte filling activity to check whether the air quality is good enough to be recycled. This part of the study was approached by combining ANSYS FLUENT and the onsite measurement. A secondary objective is studying the energy-saving of dehumidification system with air recirculation system, meanwhile do the environmental analysis and cost analysis. In the end, in order to safely recycle the air in the Clean&Dry room, the Building Automation System should be installed solve the worst case scenario. The conclusions drawn in this study include the Electrolyte Filling machine forms a ”negative pressure room” which means the Volatile Organic Compounds(VOCs) generated from the machine is not likely spreading to the room, and the energy-saving, carbon footprint decreasing, energy cost and the cost of Building Automation System were provided. / Utveckling av energilagring är ett viktigt steg för energiomställningen, samtidigt är litiumjonbatterier den vanligaste nyckelkomponenten i elfordon. Under det senaste decenniet har investeringar gjorts i produktion av litiumjonbatterier, som ett resultat av produktionsmiljön (Rent & torrt rum) som används för vissa processer som stapling, elektrolytfyllning och så vidare och energiförbrukningen för att upprätthålla denna speciell miljö där exakt kontroll av luftfuktighet och luftrenhet har blivit ett stort problem. I denna studie berörs endast en produktionsprocess: elektrolytfyllning. Under denna process är flyktiga organiska föreningar (VOC) ämnet som påverkar luftkvaliteten, vilket också är anledningen till att ingen luftåtervinning i detta rena&torra rum innan man undersöker luftkvaliteten, vilket leder till enorm energiförbrukning för behandling av 100% frisk luft.  Huvudsyftet med denna avhandling är att studera distributionen av flyktiga organiska föreningar (VOC) i Clean&Dry-rummet med elektrolytfyllningsaktivitet för att kontrollera om luftkvaliteten är tillräckligt bra för att kunna återvinnas. Denna del av studien togs fram genom att kombinera ANSYS FLUENT och mätningen på plats. Ett sekundärt mål är att studera energibesparing av avfuktningssystem med luftcirkulationssystem, samtidigt gjorde miljöanalys och kostnadsanalys. I slutändan, för att säkert återvinna luften i Clean&Dry-rummet, bör Building Automation System implementeras för att lösa det värsta scenariot. Slutsatserna som dras i den här studien inkluderar att elektrolytfyllningsmaskinen bildar ett ”negativt tryckrum” vilket betyder att de flyktiga organiska föreningarna (VOC) som genereras från maskinen sannolikt inte sprider sig till rummet, och det energibesparande, koldioxidavtrycket minskar, energi kostnaden och kostnaden för Building Automation System tillhandahölls.

In the building automation domain, there are gaps among various tasks related to design engineering. As a result created system designs must be adapted to the given requirements on system functionality, which is related to increased costs and engineering effort than planned. For this reason standards are prepared to enable a coordination among these tasks by providing guidelines and unified artifacts for the design. Moreover, a huge variety of prefabricated devices offered from different manufacturers on the market for building automation that realize building automation functions by preprogrammed software components. Current methods for design creation do not consider this variety and design solution is limited to product lines of a few manufacturers and expertise of system integrators. Correspondingly, this results in design solutions of a limited quality. Thus, a great optimization potential of the quality of design solutions and coordination of tasks related to design engineering arises. For given design requirements, the existence of a high number of devices that realize required functions leads to a combinatorial explosion of design alternatives at different price and quality levels. Finding optimal design alternatives is a hard problem to which a new solution method is proposed based on heuristical approaches. By integrating problem specific knowledge into algorithms based on heuristics, a promisingly high optimization performance is achieved. Further, optimization algorithms are conceived to consider a set of flexibly defined quality criteria specified by users and achieve system design solutions of high quality. In order to realize this idea, optimization algorithms are proposed in this thesis based on goal-oriented operations that achieve a balanced convergence and exploration behavior for a search in the design space applied in different strategies. Further, a component model is proposed that enables a seamless integration of design engineering tasks according to the related standards and application of optimization algorithms.

The goal of this thesis is a building automation in which the circuits are controlled by a single-board computer Arduino and the entire system is operated by a mobile phone. The theoretical part describes a single-board computer Arduino, its parts, functions, capabilities and communication with it. In the practical part, the controlled circuits are described, implemented and a functional model of a house is created. The model of the house practically demonstrates behavior of the controlled circuits simultaneously with a possibility to manage and influence the system using a mobile phone.

Fotosyntes är central för vår överlevnad. I denna studie har en artificel ljuskälla reglerats för att optimera fotonintensiteten då intensiteten från solen varit för låg. Fokus är lagt på PAR-vågbandet vilket är de våglängder som anses ha störst inverkan på fotosyntes. En kalibrerad sensor användes för att ge pålitliga mätvärden av fotonintensiteten. En billig sensor konstruerades för mätning av densamma och även manuell mätning med lux-meter där värdena konverterades till fotonintensitet. För att studera hur tillväxten påverkas av fotonintensiteten har en testgrupp och en kontrollgrupp med morötter används. Morötterna placerades i ett växthus under liknande förutsättningar med avseende på till exempel näring och värme. Testgruppen fick tillgång till artificellt ljus då intensiteten från solen var för låg under dagstid. Kontrollgruppen fick endast tillgång till solljus. Tillväxten för testgruppen blev större än för kontrollgruppen. För vidare forskning skulle en steglös reglering av fotonbombardemanget kunna optimera processen. Denna förbättring innebär ekonomisk besparing i form av högre biologisk tillväxt vid lägre energiförbrukning. Slutsatsen av denna studie är att optimering av fotonbombardemang kan medföra ekonomisk besparing och även minskad negativ miljöpåverkan på grund av lägre energiförbrukning. / Photosynthesis is central to our survival. In this study, an artificial light source has been regulated to optimize the photon intensity when the intensity from the sun has been too low. The focus is on the PAR waveband, which are the wavelengths that are considered to have the greatest impact on photosynthesis. A calibrated sensor was used to provide reliable measurements of the photon intensity. An inexpensive sensor was designed for measuring the same and also manual measurement with lux-meter where the values ​​were converted to photon intensity. To study how growth is affected by photon intensity, a test group and a control group with carrots were used. The carrots were placed in a greenhouse under similar conditions with regard to, for example, nutrition and heat. The test group gained access to artificial light when the intensity from the sun was too low during the day. The control group only had access to sunlight. The growth for the test group was greater than for the control group. For further research, a stepless regulation of photon bombardment could optimize the process. This improvement means economic saving in the form of higher biological growth at lower energy consumption. The conclusion of this study is that optimization of photon bombardment can lead to economic saving and also reduced negative environmental impact due to lower energy consumption.

In the building automation domain, there are gaps among various tasks related to design engineering. As a result created system designs must be adapted to the given requirements on system functionality, which is related to increased costs and engineering effort than planned. For this reason standards are prepared to enable a coordination among these tasks by providing guidelines and unified artifacts for the design. Moreover, a huge variety of prefabricated devices offered from different manufacturers on the market for building automation that realize building automation functions by preprogrammed software components. Current methods for design creation do not consider this variety and design solution is limited to product lines of a few manufacturers and expertise of system integrators. Correspondingly, this results in design solutions of a limited quality. Thus, a great optimization potential of the quality of design solutions and coordination of tasks related to design engineering arises. For given design requirements, the existence of a high number of devices that realize required functions leads to a combinatorial explosion of design alternatives at different price and quality levels. Finding optimal design alternatives is a hard problem to which a new solution method is proposed based on heuristical approaches. By integrating problem specific knowledge into algorithms based on heuristics, a promisingly high optimization performance is achieved. Further, optimization algorithms are conceived to consider a set of flexibly defined quality criteria specified by users and achieve system design solutions of high quality. In order to realize this idea, optimization algorithms are proposed in this thesis based on goal-oriented operations that achieve a balanced convergence and exploration behavior for a search in the design space applied in different strategies. Further, a component model is proposed that enables a seamless integration of design engineering tasks according to the related standards and application of optimization algorithms.:1 Introduction 17 1.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.2 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 1.3 Goals and Use of the Thesis . . . . . . . . . . . . . . . . . . . . . 21 1.4 Solution Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . 22 1.5 Organization of the Thesis . . . . . . . . . . . . . . . . . . . . . . 24 2 Design Creation for Building Automation Systems 25 2.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.2 Engineering of Building Automation Systems . . . . . . . . . . . 29 2.3 Network Protocols of Building Automation Systems . . . . . . . 33 2.4 Existing Solutions for Design Creation . . . . . . . . . . . . . . . 34 2.5 The Device Interoperability Problem . . . . . . . . . . . . . . . . 37 2.6 Guidelines for Planning of Room Automation Systems . . . . . . 38 2.7 Quality Requirements on BAS . . . . . . . . . . . . . . . . . . . 41 2.8 Quality Requirements on Design . . . . . . . . . . . . . . . . . . 42 2.8.1 Quality Requirements Related to Project Planning . . . . 42 2.8.2 Quality Requirements Related to Project Implementation 43 2.9 Quality Requirements on Methods . . . . . . . . . . . . . . . . . 44 2.10 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 3 The Design Creation Task 47 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3.2 System Design Composition Model . . . . . . . . . . . . . . . . . 49 3.2.1 Abstract and Detailed Design Model . . . . . . . . . . . . 49 3.2.2 Mapping Model . . . . . . . . . . . . . . . . . . . . . . . . 51 3.3 Formulation of the Problem . . . . . . . . . . . . . . . . . . . . . 53 3.3.1 Problem properties . . . . . . . . . . . . . . . . . . . . . . 54 3.3.2 Requirements on Algorithms . . . . . . . . . . . . . . . . 56 3.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57 4 Solution Methods for Design Generation and Optimization 59 4.1 Combinatorial Optimization . . . . . . . . . . . . . . . . . . . . . 59 4.2 Metaheuristics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59 4.3 Examples for Metaheuristics . . . . . . . . . . . . . . . . . . . . . 62 4.3.1 Simulated Annealing . . . . . . . . . . . . . . . . . . . . . 62 4.3.2 Tabu Search . . . . . . . . . . . . . . . . . . . . . . . . . 63 4.3.3 Ant Colony Optimization . . . . . . . . . . . . . . . . . . 65 4.3.4 Evolutionary Computation . . . . . . . . . . . . . . . . . 66 4.4 Choice of the Solver Algorithm . . . . . . . . . . . . . . . . . . . 69 4.5 Specialized Methods for Diversity Preservation . . . . . . . . . . 70 4.6 Approaches for Real World Problems . . . . . . . . . . . . . . . . 71 4.6.1 Component-Based Mapping Problems . . . . . . . . . . . 71 4.6.2 Network Design Problems . . . . . . . . . . . . . . . . . . 73 4.6.3 Comparison of Solution Methods . . . . . . . . . . . . . . 74 4.7 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77 5 Automated Creation of Optimized Designs 79 5.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 5.2 Design Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . 79 5.3 Component Model . . . . . . . . . . . . . . . . . . . . . . . . . . 81 5.3.1 Presumptions . . . . . . . . . . . . . . . . . . . . . . . . . 85 5.3.2 Integration of Component Model . . . . . . . . . . . . . . 87 5.4 Design Generation . . . . . . . . . . . . . . . . . . . . . . . . . . 87 5.4.1 Component Search . . . . . . . . . . . . . . . . . . . . . . 88 5.4.2 Generation Approaches . . . . . . . . . . . . . . . . . . . 100 5.5 Design Improvement . . . . . . . . . . . . . . . . . . . . . . . . . 107 5.5.1 Problems and Requirements . . . . . . . . . . . . . . . . . 107 5.5.2 Variations . . . . . . . . . . . . . . . . . . . . . . . . . . . 111 5.5.3 Application Strategies . . . . . . . . . . . . . . . . . . . . 121 5.6 Realization of the Approach . . . . . . . . . . . . . . . . . . . . . 122 5.6.1 Objective Functions . . . . . . . . . . . . . . . . . . . . . 122 5.6.2 Individual Representation . . . . . . . . . . . . . . . . . . 123 5.7 Automated Design Creation For A Building . . . . . . . . . . . . 124 5.7.1 Room Spanning Control . . . . . . . . . . . . . . . . . . . 124 5.7.2 Flexible Rooms . . . . . . . . . . . . . . . . . . . . . . . . 125 5.7.3 Technology Spanning Designs . . . . . . . . . . . . . . . . 129 5.7.4 Preferences for Mapping of Function Blocks to Devices . . 132 5.8 Further Uses and Applicability of the Approach . . . . . . . . . . 133 5.9 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 6 Validation and Performance Analysis 137 6.1 Validation Method . . . . . . . . . . . . . . . . . . . . . . . . . . 137 6.2 Performance Metrics . . . . . . . . . . . . . . . . . . . . . . . . . 137 6.3 Example Abstract Designs and Performance Tests . . . . . . . . 139 6.3.1 Criteria for Choosing Example Abstract Designs . . . . . 139 6.3.2 Example Abstract Designs . . . . . . . . . . . . . . . . . . 140 6.3.3 Performance Tests . . . . . . . . . . . . . . . . . . . . . . 142 6.3.4 Population Size P - Analysis . . . . . . . . . . . . . . . . 151 6.3.5 Cross-Over Probability pC - Analysis . . . . . . . . . . . 157 6.3.6 Mutation Probability pM - Analysis . . . . . . . . . . . . 162 6.3.7 Discussion for Optimization Results and Example Designs 168 6.3.8 Resource Consumption . . . . . . . . . . . . . . . . . . . . 171 6.3.9 Parallelism . . . . . . . . . . . . . . . . . . . . . . . . . . 172 6.4 Optimization Framework . . . . . . . . . . . . . . . . . . . . . . . 172 6.5 Framework Design . . . . . . . . . . . . . . . . . . . . . . . . . . 174 6.5.1 Components and Interfaces . . . . . . . . . . . . . . . . . 174 6.5.2 Workflow Model . . . . . . . . . . . . . . . . . . . . . . . 177 6.5.3 Optimization Control By Graphical User Interface . . . . 180 6.6 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 183 7 Conclusions 185 A Appendix of Designs 189 Bibliography 201 Index 211

To improve sustainability, social, environmental and economic aspects needs to be considered. The most optimal result appears when all three aspects are balanced equally, this is however often overseen by private investors, who focuses only on reaching economic sustainability at the expense of social and environmental sustainability. Building digitization is one way to potentially improve the sustainability of a building socially, environmentally and economically. Focusing on the aspects that often are neglected, this thesis aims to investigate if digitizing a building improves social and environmental sustainability. The investigation is made by evaluating the implementation of a digital building automation tool from selected social and environmental sustainability criteria at the University hospital of Northern Sweden. This by performing an interview survey with the maintenance organisation and the tenants in the building, as well as performing CO2-e calculations on emissions connected to energy usage, transportation and production of HVAC-products. The evaluation indicated that the implementation had resulted in improved sustainability in the studied building, both socially and environmentally. Showing that digitizing a building improves social and environmental sustainability. The social sustainability had been positively affected from increased efficiency and effectiveness of the maintenance work in the building and improved well-being of the maintenance staff. However, the tenants were not completely satisfied when asked if reported errors were being solved, but on the other hand had the maintenance organisation experienced an improvement in satisfaction among the tenants since the implementation of the digital building automation tool. Furthermore, the tenants were generally more satisfied than dissatisfied with the indoor climate, except for experienced low temperatures in the winter and dry air. The environmental sustainability had been improved from a reduction in emitted CO2-e, generated from less energy usage and minimized transportation connected to maintenance operations. Furthermore, an estimation on increased technical lifetime of HVAC-products demonstrated on a potential further reduction in emitted CO2-e during the building's whole life span. Finally, the evaluation identified two combined effects between social and environmental sustainability. First, the increased efficiency and effectiveness of the maintenance work was one direct factor for the decrease in CO2-e emissions connected to transportation. Second, the tenants in the building expressed that they would feel prouder of their choice of employer if their employer focused more on reducing their climate impact, which motivates to work with environmental sustainability to achieve satisfaction and moreover an improved social sustainability.  The results of this case study indicate that digital building automation improves the social and environmental sustainability of a building, strengthening the statement on potential sustainability improvements from building digitization. For property owners wanting to increase their building's sustainability, digital building automation is therefore a proposed course of action. However, the performance on sustainability and the balance between the different aspects should continuously be evaluated, as the study showed that further improvements on the social and environmental sustainability still could be made. Property owners working towards an improved sustainability through digitization will both see long term positive effects on people's health, as well as help fulfilling the climate goals in the Paris agreement, resulting in a more sustainable world for present and future generations. / För att skapa en bättre hållbarhet måste hänsyn tas till både den sociala, miljömässiga samt den ekonomiska aspekten. Fokuset på dessa tre aspekter bör balanseras lika för att uppnå optimal hållbarhet, dock efterföljs detta inte vanligtvis av privata investerare som ofta endast fokuserar på att uppnå ekonomisk hållbarhet på bekostnad av den sociala- och miljömässiga hållbarheten. En byggnads hållbarhet kan potentiellt förbättras genom digitalisering av byggnaden, vilket kan förbättra den sociala, miljömässiga och ekonomiska hållbarheten. Genom att fokusera på de aspekter som ofta blir nedprioriterade undersöker denna studie om den sociala och miljömässiga hållbarheten i en byggnad ökar vid digitalisering. Detta genom att utvärdera implementeringen av ett digitalt verktyg på Norrlands Universitetssjukhus från några utvalda kriterier för social och miljömässig hållbarhet. Den sociala hållbarheten utvärderas med hjälp av en intervjustudie med underhållspersonalen och hyresgästerna i byggnaden, medan den miljömässiga hållbarheten utvärderades genom att beräkna CO2-e utsläpp kopplade till energianvändning, transporter samt produktionen av HVAC-produkter. Utvärderingen indikerade att implementeringen hade resulterat i en ökad social och miljömässig hållbarhet i byggnaden, vilket visar att en byggnads sociala och miljömässiga hållbarhet kan förbättras genom digitalisering. Den sociala hållbarheten hade ökat på grund av en ökad effektivitet i underhållsarbetet samt ett förbättrat välmående hos underhållspersonalen. Dock visade undersökningen att hyresgästerna i byggnaden inte var helt nöjda med arbetet kring felanmälningar, underhållsorganisationen hade dock upplevt att hyresgästerna var nöjdare efter implementeringen av det digitala verktyget än de var innan. Hyresgästerna var också mer nöjda än missnöjda med inomhusklimatet, förutom att de upplevde låg inomhustemperatur på vintern och att luften var torr. Den miljömässiga hållbarheten hade förbättrats genom en minskning av CO2-e utsläpp från minskad energianvändning och minskade transporter kopplade till underhållsarbetet. Den estimerade ökningen av den tekniska livslängden på HVAC-produkter visade också på potentiella minskningar av CO2-utsläpp under byggnadens hela livslängd. Denna studie identifierade också två kombinerade effekter mellan social- och miljömässig hållbarhet. Den första var att genom ökad effektivitet i arbetet för underhållspersonalen så minskade även CO2-e utsläppen från transporterna. Den andra var att hyresgästerna i byggnaden uttryckte att de skulle känna sig stoltare över sitt val av arbetsgivare om deras arbetsgivare fokuserade mer på att minska sin klimatpåverkan, vilket motiverar att arbeta med miljömässighållbarhet för att uppnå ökad tillfredsställelse hos hyresgästerna och därav ökad social hållbarhet.  Resultaten från denna fallstudie indikerar att digital fastighetsautomation förbättrar den sociala och miljömässiga hållbarheten av en byggnad, vilket styrker argumentet att en byggnads hållbarhet potentiellt kan förbättras genom digitalisering. För fastighetsägare som vill öka en byggnads hållbarhet är digital fastighetsautomation därför rekommenderat. Hållbarheten samt balansen mellan de olika hållbarhetsaspekterna behöver däremot kontinuerligt utvärderas, eftersom denna studie har visat att den sociala- och miljömässigahållbarheten fortfarande kan förbättras. Fastighetsägare som arbetar med att öka hållbarheten i byggnader genom digitalisering kommer uppleva långvariga positiva effekter för människors hälsa samt så kommer de bidra till att uppnå klimatmålen i Parisavtalet. Detta resulterar i en mer hållbar värld för nutida och framtida generationer.