Climate Change Adaptive Resilience Analysis Dataset

Greenhouse gas escalation and severely deteriorated environment with global warming and climate change impose substantial difficulties in energy resilience for adaption and mitigation of climate change and zero-carbon transitions. However, uncertainties in supply-demand from climate change and climate-adaptive resilience for electrified and integrative PV-battery-building systems remain unclear. In this research, following zero-energy building design principles and innovative U-value/M-value battery sizing methods, a tailored ‘kWp-kWh-m2’ design approach is proposed with intrinsic relationships of prosumer-storage to achieve renewable self-sufficiency and avoid battery oversizing in both centralized and distributed forms. Comprehensive analysis is conducted by assessing economic-environmental indicators, such as levelized costs of storage, net present values, decarbonization potentials, and policy incentives, followed by the evaluation of provincial system configurations considering energy system variations across diverse climate change conditions and geographic areas. Results reveal significant regional variations induced by climatic conditions, resource availability, local grid energy structure, and electricity prices. Notably, the long-term economic-ecological viability of the proposed PV-battery-building system is highlighted, especially with optimal battery integrations. As climate change progresses, the research provides invaluable guidelines for zero-energy transitions from optimal system design, provincial-level system configurations, and performance evaluation, guiding the strategic investment and targeted policy interventions towards sustainability transformations.

The comprehensive dataset encompasses 25-year time series of instantaneous photovoltaic (PV) generation, building electricity demand, PV-battery system performance, and battery capacity sizing procedures across five distinct climatic regions in China. This data accounts for the impacts of different climate change scenarios, including the typical year as well as the Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5 for the years 2020, 2030, 2060, and 2100.