作者: Stuart Gadsden , Mark Rylatt , Kevin Lomas , Darren Robinson
DOI: 10.1016/S0378-7788(02)00078-6
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摘要: This paper describes the development of underlying methodology a solar energy planning (SEP) system for advisers and policy makers. The predicts baseline consumption domestic properties determines potential reducing this using three key technologies passive design, water heating photovoltaic (PV) systems. A new dwelling classification has been developed to address major problem data collection city-wide modelling. permits demands be estimated assumed values or more accurately calculated survey data. integrates existing models with approaches both identify suitable dwellings installing PV systems quantify savings reductions in carbon dioxide emissions. Guidance on improving estate layouts enhance conditions is also given. Results can presented geographical information (GIS). concludes discussion possible scenarios illustrate how may enable planners consider urban-scale application greatly increased confidence.