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Case study is in Copenhagen with 1491 kWh/year of lighting and appliances consumption, K20 building, a roof tilt of 35° and a PV system.
The case study is in Copenhagen with 1491 kWh/year of lighting and appliances consumption, K20 building, a roof tilt of 35° and a PV system.
Turkey's future residential energy output demand is estimated based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures.
GA EXnergy Input/Output Estimation Model (GAEXIEM/GAEXOEM) is used to estimate the future residential exergy input/output values based on the indicators of gross domestic product, population, import, export, house production, cement production and basic house appliances consumption.
The GA Energy Input Estimation Model (GAEIEM) is used to estimate Turkey's future residential-commercial energy input demand based on GDP, population, import, export, house production, cement production and basic house appliances consumption figures.
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The average self-production and consumption rates without battery increases function of the lighting and appliance consumption (Fig. 4).
DSM targets to improve appliance consumption, trim down utilization, while maintaining an equivalent level of service and pleasure [10].
Open image in new window Fig. 4 Average self-production and consumption rates in function of the lighting and appliance consumption.
Input variables such as apartment area, numbers of occupants, electrical appliance consumption and Boolean inputs as hourly meter system were considered.
The lowest payback periods, (~7 years), are reached with a well-insulated building envelope (K20), a high lighting and appliance consumption (LA3000), a low feed-in tariff (no_sell) and a 3.5 kWh battery.
The lowest payback periods, (~7 years), are reached with a well-insulated building envelope, a high lightning and appliance consumption, a low feed-in tariff and a 3.7 kWh battery.
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