خلاصة:
In recent years, the issue of energy consumption modeling techniques in the building sector has been widely considered by researchers and managers. Researches indicate that energy consumption in residential sector is one of the main parts of the total consumption. Moreover, the urban residence is supposed as a significant consumer of energy in every country and therefore a focus for energy consumption efforts. For over increasing building energy consumption there can be some causes including : climate change, increase in household electricity load, fast-growing household electrical appliances, huge energy consumption of the buildings, and the lack of strict government supervision.Recently the issue of assigning different prices to different time-periods of energy consumption has been taken intoconsideration for energy prices of consumers’ bills. Therefore, in this paper a model for multi-prices and multi-periods single-type energy consumption in urban residential sector is presented; also an efficient heuristic method is provided for solving the mentioned model.
ملخص الجهاز:
Therefore, in this paper a model for multi-prices and multi-periods single-type energy consumption in urban residential sector is presented; also an efficient heuristic method is provided for solving the mentioned model.
Furthermore, buildings account for 45% of worldwide energy use and the urban residential sector is a significant consumer of energy in every country, and therefore a focus for energy consumption efforts (Jebaraj and Iniyan, 2006).
The present paper aims to model energy consumption of multi-prices and multi-periods single-type energy (with the limitation in amount).
Literature Review Energy Consumption in Residential Buildings In their article, Eichen and Tukel (1982) emphasized that whatever future energy path is chosen, it will be critical to know energy supply and demand patterns at the micro (family) level, i.
A critical review of various modeling techniques of energy consumption in residential sector was presented by Swan and Ugursal (2009).
In their research, Pereira and Sad de Assis (2013) developed a model able to estimate the energy consumption by residential sectors, in different areas inside a city, through the adoption of an energy planning methodology.
Fig. 2: The illustration of percent energy consumption by residential sector end-uses (Source: Soratana and Marriott, 2010) method, based upon network models, and value of energy-bearers type is then provided as an appropriate solution in the modeling of energy consumption.
The present study aimed to model energy consumption in the case of multi-prices and multi-periods energy (one type of energy) with the limitation in amount.