TY - JOUR
T1 - Consumer-focused Solar-grid Net Zero Energy Buildings
T2 - A Multi-objective Weighted Sum Optimization and Application for India
AU - Madathil, Deepthisree
AU - Pandi, V. Ravikumar
AU - Nair, Manjula G.
AU - Jamasb, Tooraj
AU - Thakur, Tripta
PY - 2021/7
Y1 - 2021/7
N2 - Buildings account for nearly 40% of the world's energy consumption. Renewable energy sources can help decarbonization by facilitating the achievement of Net Zero Energy Buildings (NZEB). NZEB can be achieved by efficient coordination of the grid-connected load in the building tuned to a consumer's energy demand, usage pattern, and available energy sources. An effective NZEB system calls for an energy-efficient management technique. This paper proposes a novel mathematical strategy for electrical energy management in a residential building. The suggested method establishes a Net Zero Energy (NZE) in a residential building with maximum electrical energy comfort and minimum drain on electrical energy. We validate the concept using a Multi-Objective Differential Evolution optimization methodology using a consumer-controlled approach to obtain Pareto points to guarantee optimal solutions in an NZEB. The proposed scheme delineates the net cumulative electrical energy cost savings of the consumer, ensuring minimum electrical energy discomfort, and minimization of carbon footprints in an NZE Photovoltaic-Grid tied residential building. We highlight the socioeconomic benefits of adopting the methodology in identifying the true potential of NZEBs in meeting global challenges. This research provides insights to the engineers and policy makers to increase consumer participation in the energy performance in an NZEB.
AB - Buildings account for nearly 40% of the world's energy consumption. Renewable energy sources can help decarbonization by facilitating the achievement of Net Zero Energy Buildings (NZEB). NZEB can be achieved by efficient coordination of the grid-connected load in the building tuned to a consumer's energy demand, usage pattern, and available energy sources. An effective NZEB system calls for an energy-efficient management technique. This paper proposes a novel mathematical strategy for electrical energy management in a residential building. The suggested method establishes a Net Zero Energy (NZE) in a residential building with maximum electrical energy comfort and minimum drain on electrical energy. We validate the concept using a Multi-Objective Differential Evolution optimization methodology using a consumer-controlled approach to obtain Pareto points to guarantee optimal solutions in an NZEB. The proposed scheme delineates the net cumulative electrical energy cost savings of the consumer, ensuring minimum electrical energy discomfort, and minimization of carbon footprints in an NZE Photovoltaic-Grid tied residential building. We highlight the socioeconomic benefits of adopting the methodology in identifying the true potential of NZEBs in meeting global challenges. This research provides insights to the engineers and policy makers to increase consumer participation in the energy performance in an NZEB.
KW - Net zero energy buildings
KW - Differential evolution
KW - Multi-objective optimization
KW - Weighted sum method
KW - Renewable energy
KW - Carbon tax
KW - Net zero energy buildings
KW - Differential evolution
KW - Multi-objective optimization
KW - Weighted sum method
KW - Renewable energy
KW - Carbon tax
U2 - 10.1016/j.spc.2021.05.012
DO - 10.1016/j.spc.2021.05.012
M3 - Journal article
SN - 2352-5509
VL - 27
SP - 2101
EP - 2111
JO - Sustainable Production and Consumption
JF - Sustainable Production and Consumption
ER -