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Buildings account for up to a third of total world greenhouse gas GHG emissions, and this pattern is expected to persist. By 2050, cities will be home to 70 % of the world's population, demanding a significant number of buildings to be constructed. Efforts to reduce these emissions in the past had varied performance. However, several examples indicate that well thought and adequately executed mix of building technology coupled with environmental policies may reduce emissions. Therefore, cities worldwide are joining the race to decarbonize their buildings to become net-zero carbon and support green economies through a diversified bundle of policies. However, designing and selecting the appropriate mix of building technology and environmental policies is challenging to generate the most outlast net-zero carbon impacts. This research aims to uncover the intersection between science and policy's role in achieving a global net-zero energy building sector. First, an urban comparative analysis for ten environment-leading cities has been made to understand the latest progress in the building sector and draw on future recommendations. The findings are thematically grouped into five themes a) Building's energy efficiency (energy demand sector). (b) Electrified renewable grids (energy supply sector). (c) Green fiscal incentives (d) Education and capacity building. (e) Governance and collaboration. Second, the University of Ottawa has been utilized as a part of the campus as a living lab initiative to examine installing photovoltaic panels over the campus buildings as part of the university expansion program to achieve net-zero operations by 2040. The following parameters have been considered to address the PV systems viability, 1) the expected electricity output. 2) the initial and operational costs. 3) the GHG reductions in operational energy. 4) the PV system embodied carbons. RETScreen Expert software has been used to perform the Life Cycle Cost Analysis (LCCA) to assess PV system output and financial viability. One Click-LCA software to carry-out Life Cycle Assessment (LCA) to assess embodied carbons. The results indicate from analyzing 31 buildings that 20% - 107% of electricity can be offset depending on each building's energy use and solar collector area. Additionally, the 31 buildings analyzed for electricity generation collectively have the potential to save around 23% of the total campus electricity consumption with a production capacity of 18 million units (kWh) annually, including 21,108 solar panels. Also, the project shows financial viability only if the PV systems are installed as part of the whole campus with a Net Present Value (NPV) of $4,985,89 and an Internal Rate of Return (IRR) of 11.4%. The analysis shows 24% and 18% maximum sensitivity to increased initial cost and decreased electricity generation/rate. Finally, the GHG estimated reductions over 25 years from generated electricity are 14,445 tCO2, and the estimated increased embodied carbons from the Life Cycle Assessment are set to be 1,023 tCO2. Additionally, drawing upon urban analysis and the case study, the research highlights the dynamic nature of the building sector emissions reduction and city initiatives. Thirdly, a detailed analysis was carried out in the System Advisor Model (SAM) software to integrate the solar system with energy storage in the Advanced Research Complex (ARC) Building at the University of Ottawa. The study assesses the system viability and helps the university to reduce its monthly electricity bill and help Ontario to maintain its grid reliability by keeping the electricity demand low at peak times. The findings show that using an integrated solar system with an energy storage system by mitigating 100%, 90%, 75%, and 50% of the building electricity demand during the Ontario gird peak could lead to a Net Present Value of $2,01, $1.70, $1.30, and $0.864 million over 25 years the lifetime of the project through the Ontario Global Adjustment Program. The study also shows that with the absence of the Ontario Global Adjustment Program as a fiscal reform tool and relying only on the time of use electricity rates, the solar panels with an energy storage system could lead to a negative Net Present Value of $-550 thousand.

Making electricity grids smarter and facilitating them with integration of renewable energy sources (RES) and energy storage are fairly accepted as the necessary steps to achieve a sustainable and secure power industry. To enable Net-zero energy and optimize power management for future homes or buildings, DC electric distribution systems (DC Nano-grid) find feasibility and simplicity for integrating renewable energy sources and energy storage. However, integrating the sources and loads in a simple, robust and smart way is still challenging. High voltage lithium-ion battery should be seriously considered concerning the overcharge/over-discharge risk. Dissipative cell equalization and its performance are studied. Non-dissipative equalization methods are reviewed using an energy flow chart. Typical charging schemes and the related over-charge risk are illustrated. A Lithium-ion battery charging profile based on VCell_Max/Min monitoring is proposed and validated with experimental results in an 8.4kW bidirectional battery charger for DC future home. For the DC future home emulator testbed, a grid interface converter, i.e. energy control center (ECC) converter, is reviewed with functions identification. A PV system with different configurations is compared to further expand the common MPPT region, and a DC-DC converter is designed as the interface between PV panels and DC bus, facilitating maximum power point tracking (MPPT) as well as fulfill the system energy management requirement. An 8.4kW multi-phase bidirectional battery charger with Si IGBT in DCM operation is designed to achieve high efficiency and to be the interface converter between lithium-ion battery and DC bus, enhancing the battery system management as well as increasing the system reliability. To integrate all the sources and loads in a simple, reliable and smart way, this thesis proposes a distributed droop control method and smart energy management strategy to enhance the Net-zero electric energy cost. All of the control strategies are applied to the DC future home with interactions among the energy control center (ECC), renewable energy sources, energy storage and load within a day/24 hours. System level energy management control strategies for Net-zero electric energy cost are examined and illustrated. A 10kW future home emulator testbed is built and introduced for concepts validation. / Master of Science

Designing Net-Zero Energy Buildings (NZEB) is a complex and collaborative team process involving knowledge sharing of experts leading to the common goal of meeting the Net-Zero Energy (NZE) project objectives. The decisions made in the early stages of design drastically affect the final outcome of design and energy goals. The Architecture, Engineering and Construction (AEC) industry is pursuing ways to improve the current building design process and project delivery methods for NZEBs. To enable the building industry to improve the building design process, it is important to identify the gaps, ways of improvement and potential opportunities to structure the decision-making process for the purpose of NZE performance outcome. It is essential to identify the iterative phases of design decisions between the integrated team of experts for the design processes conducted in these early stages to facilitate the decision-making of NZEB design. The lack of a structured approach to help the AEC industry in making informed decisions for the NZEB context establishes the need to evaluate the argumentation of the NZEB design decision process. The first step in understanding the NZEB design decision process is to map the current processes in practice that have been successful in achieving the NZE goal. Since the energy use performance goal drives the design process, this research emphasizes first the need to document, in detail, and investigate the current NZEB design process with knowledge mapping techniques to develop an improved process specific to NZEB context. In order to meet this first objective, this research qualitatively analyzed four NZEB case studies that informed decision-making in the early design phases. The four components that were studied in the early design phases included (1) key stakeholders involved (roles played), (2) phases of assessments (design approach, (3) processes (key processes, sub-processes and design activities affecting performance) and (4) technology (knowledge type and flow). A series of semi-structured, open-ended interviews were conducted with the key decision-makers and decision facilitators to identify their roles in the early design processes, the design approach adopted, rationale for decision-making, types of evaluations performed, and tools used for analysis. The qualitative data analysis was performed through content analysis and cognitive mapping techniques. Through this process, the key phases of decision-making were identified that resulted in understanding of the path to achieving NZE design goal and performance outcome. The second objective of this research was to identify the NZE decision nodes through a comparative investigation of the case studies. This research also explored the key issues specific to each stakeholder group. The inter-relationships between the project objectives, decision context, occupants usage patterns, strategies and integrated systems, building operation and renewable energy production was identified through a series of knowledge maps and visual process models leading to the identification of the key performance indicators. This research reviewed the similarities and differences in the processes to identify significant opportunities that can improve the early building design process for NZEBs. This research identifies the key decision phases used by the integrated teams and describes the underlying structure that can change the order of key phases. A process mapping technique was adapted to capture the practice-based complex NZEB design approach and draw insights of the teamwork and interdisciplinary communication to enable more comprehensive understanding of linkages between processes, sub-processes and design activities, knowledge exchange, and decision rationale. Ket performance indicators identified for early design of NZEBs resulted in developing a decision-support process model that can help the AEC industry in making informed decisions. This dissertation helps improve understanding of linkages between processes, decision nodes and decision rationale to enable industry-wide NZEB design process assessment and improvement. This dissertation discusses the benefits the proposed NZEB design process model brings to the AEC industry and explores future development efforts. / Ph. D.

Master of Science / Department of Architecture / Gary J. Coates / This thesis was undertaken to investigate and seek possible architectural solutions to two issues. Firstly, fragmentation of the American family structure into a variety of new household types presents new design challenges to architects today. The single family house, once an 'ideal family' home, now needs to be redesigned to accommodate these changing lifestyles. Secondly, global warming and threats of an impending energy crisis loom large over humankind today. Environmentally-responsive architectural design can and should address both of these burgeoning problems. A program was developed as the basis for designing new infill housing in the city of Manhattan, Kansas, a small Midwestern college town. The aim was to provide dwelling units that would accommodate a wide range of family types and use patterns of the entire life cycle while fitting in to the existing architectural fabric of the neighborhood. After a literature review, it was concluded that 'front and back house' design was the most suitable option. In this context, three types of front and back house designs are presented. These options are further divided into thirteen subtypes. It is shown that these designs fulfill the spatial needs of a variety of differing households such as houses with an office, a multigenerational home and units that permit aging in place. An independent study was undertaken to achieve a 'zero energy threshold' for one of the designs within the design matrix presented in the thesis. A 60%-65% decrease in energy usage was attained in the front house and 50% in the back house by increasing the overall efficiency of the building envelope and by utilizing energy efficient appliances. Utilization of a 2 X 6.4 kW grid-connected solar photovoltaic system provided enough energy to power the house (inclusive of front & back houses). A Geothermal heating/cooling system was employed to further decrease the use of fossil fuel. With reduced energy needs and use of a gird connected solar system it was possible to achieve a 'net-zero energy house', which is defined as a house that generates as much as or more than the total energy it uses over the course of a year. An economic analysis of the front and back house and proposed energy systems was also performed. Calculations suggest that rent from the back house could provide substantial financial benefits to the owner of the front house. Although use of non-conventional energy systems demanded a larger initial investment, studies showed that savings made on the utility bills would eventually help recover this investment within the lifetime of the systems.

In this dissertation, we leverage predictive and prescriptive analytics to develop decision support systems to promote the use of renewable energy in society. Since electricity from renewable energy sources is still relatively expensive, there are variety of financial incentive programs available in different regions. Our research focuses on financial incentive programs and tackles two main problem: 1) how to optimally design and control hybrid renewable energy systems for residential and commercial buildings given the capacity based and performance based incentives, and 2) how to develop a model-based system for policy makers for designing optimal financial incentive programs to promote investment in net zero energy (NZE) buildings. In order to customize optimal investment and operational plans for buildings, we developed a mixed integer program (MIP). The optimization model considers the load profile and specifications of the buildings, local weather data, technology specifications and pricing, electricity tariff, and most importantly, the available financial incentives to assess the financial viability of investment in renewable energy. It is shown how the MIP model can be used in developing customized incentive policy designs and controls for renewable energy system.

This thesis puts forth the means of a strategic approach to address a persistent problem in the energy system and in this way, to transition the built environment to a future state that is more exergy-aware to curb CO2 emissions. Such a vision is made possible by the six-fold contributions of the research work: I) An analytical model is developed, which for the first time, formulates the CO2 emissions that are compounded in the energy system as a function of the systematic failures to match the supply and demand of exergy. This model is namely the Rational Exergy Management Model or REMM. II) REMM is then applied to analyze the pathways in which it is possible to lead the built environment into addressing structural overshoots in its exergy supply to curb CO2 emissions. The cases that embody these pathways are also analyzed over a base case, including cases for sustainable heating and cooling. III) New tools are designed to augment decision-making and exemplify a paradigm shift in the more rational usage of exergy to curb CO2 emissions. These include a scenario-based analysis tool, new options for CO2 wedges, and a multi-fold solution space for CO2 mitigation strategies based on REMM. IV) The concept of a net-zero exergy building (NZEXB) is developed and related to REMM strategies as the building block of an exergy-aware energy system. The target of a NZEXB is further supported by key design principles, which address shortcomings in state-of-the-art net-zero design. V) A premier building that deployed the key design principles to integrate building technology in an innovative, exergy-aware design and received LEED Platinum is analyzed on the basis of the NZEXB target. The results validate that this building boosts net self-sufficiency and curbs compound CO2 emissions, which are then presented in a proposed scheme to benchmark and/or label future NZEXBs. VI) Based on the scalability of the best-practices of the NZEXB ready building, the means to realize a smarter energy system that has exergy-aware relations in each aspect of the value chain to curb CO2 emissions are discussed. This includes a target for such a network at the community level, namely a net-zero exergy community (NZEXC). As a whole, the results of the thesis indicate that the strategic approach as provided by REMM and the NZEXB target of the research work has the potential to steer the speed and direction of societal action to curb CO2 emissions. The thesis concludes with a roadmap that represents a cyclical series of actions that may be scaled-up at various levels of the built environment in a transition to be in better balance with the Planet. / QC 20111014

The Department of Energy (DOE) confirmed Team Solar Cal Poly from California Polytechnic State University, San Luis Obispo, as a competitor in the 2015 Solar Decathlon in February 2014. The Solar Decathlon is a biennial collegiate competition to construct a net-zero home and operate it for a week of “normal use”. Solar Cal Poly needed assistance with passive and active HVAC systems for the design, and thermal load models. The competition will take place in Irvine, CA [33.67⁰, 117.82⁰ W] from September 27 – October 3, 2015. After the completion, a potential final location for the house will be Santa Ynez, CA [34.61⁰ N, 120.09⁰ W]. Ms. Willis assisted with a climate study for both locations and research passive and active HVAC systems and design elements for Team Solar Cal Poly. She modeled the final summer design in DesignBuilder to calculate the heating and cooling loads. The heating load was calculated to be 26.7 kBTU/h. The cooling load was calculated to be 2-tons. A mini-split HVAC system was selected for the final summer design based off the calculated heating and cooling loads. For this design, the Fujitsu Hybrid Halcyon Flex met the minimum requirements, and was a multi-zone system that could condition all three major spaces of the design. This report provides a summary of information and the basic design process for future Solar Decathlon designs considerations.

This research paper examines possible solutions for the problems that warm air heating is suffering in Nearly Zero Energy Buildings. These NZEBs are passive houses constructed to have high energy efficiency where the quantity of power used is equal to the power created annually, produced locally or in the surroundings by renewable energy sources. The problem is that this type of houses are facing problems when it comes to the heating system, where temperature of air in the ceiling is greater than on the floor, so temperature stratification happens and thermal comfort is not reached in the occupied zone. For this reason, this study is carried out and tries to find optimal solutions for warm air heating. To accomplish the investigation, an experimental study has been performed using water as the working fluid in a small-scale model. Here, paddles moved horizontally located in the center of the model at the inversion level have been used to simulate the effect that the diffuser does in the air when heating. Measurements with different paddles were made to analyze the importance of the size in the mixing and one of the paddles has been positioned on a side, next to the wall, to analyze the influence of an obstacle. It has been concluded that the area of the paddle does not have a great influence on the mixing rate, but the height of it. Also, the obstacle introduced when having the paddle next to the wall showed good results in the mixing rate. Finally, the potential energy of the water tank has not suffered any change at the surface but it has decreased at the bottom for all of the paddles, so it has been wound up that the area does not have influence on the change of potential energy. All in all, two main conclusions have been reached. On the one hand, the configuration of the air inlet diffuser significantly influences the rate of mixing. Specifically, a greater vertical size of the diffuser leads to a higher speed of mixing attainment. On the other hand, it is recommended to position the diffuser towards an obstacle, such as the adjacent wall, in order to induce turbulence. As a consequence, these findings can be investigated later in a real scale model using air as the working fluid. In this way, a solution for problems of warm air heating could be found.

Society is dependent processes that emit greenhouse gases such as carbon dioxide into the atmosphere. The accumulation of these gases in the atmosphere prevents sunlight reflected from earth’s surface to get to space thereby warming the earth and causing climate change. To prevent the effects of adverse climate change, the voluntary carbon market was designed to help buyers, individuals or organizations that cannot avoid emission in their process, purchase carbon credits from sellers, entities whose process prevent or avoid carbon emissions. The voluntary carbon market faces challenges like market fragmentation, opacity of records, and delayed processes due to layers of intermediation and double counting. In an attempt to solve these challenges, blockchain, a ledger technology, has been applied by innovative organizations. This thesis researches the possible roles of trading carbon credits using blockchain based platforms in the voluntary carbon market. Furthermore, this thesis focuses secondarily on how the application could increase supply of carbon credits, influence commitment to net-zero, contribute to production of high-quality carbon credits, and promote fairness in carbon trading. A conceptual framework based upon the Oxford Principles for Carbon Offsetting, Taskforce for Scaling the Voluntary Carbon Market (TSVCM), and the Sustainability Principles was used in this study. Seven organizations were investigated in this study through a first phase of interview and a second phase of survey.The findings suggest that blockchain-enabled carbon trading has the potential to enable market growth, foster systems interactions and transition via information technology, and support opportunities for sustainability in the socio-ecological system. Blockchain also inherits the unsustainability of the overall tech and energy sectors wherein it operates. Weak governance systems off-chain from non-disclosures by market players also risk the market system on-chain to vulnerabilities. The authors conclude that trading carbon credit on blockchain-enabled platforms is a step in the right direction in terms of amplifying the contributions the voluntary carbon markets hold for cutting down carbon emissions. They also acknowledge that the blockchain-carbon credit application does not directly address upstream issues of carbon emission but serves as a mechanism to accelerate decarbonization.