Estimating National End-Use Demand Curves Through Sub-measurements and Energy Surveys

摘要

National end-use demand profiles can allow a better design of energy policy toward energy efficiency and peak demand shift. However, the availability of these profiles is hindered by data scarcity. This paper presents a methodology that uses the information gathered through monitored end-use data (e.g., power demand and time of occurrence) and the information provided in the nationwide energy surveys (e.g., availability of appliances and time of use) in order to produce realistic load profiles. The methodology is illustrated using real, residential monitored data in Costa Rica and the nationwide residential energy survey. The deployment of the methodology includes the seven most relevant appliances considering weekdays and weekends. Results show that water heating systems and stoves are the main drivers of the differences among the demand peaks of weekdays and weekends and highlight that refrigeration, water heating, and lighting are the end-uses that consume the most in Costa Rica.