Abstract
In this paper, the proposed methodology minimizes the electricity cost of a laundry room by means of load shifting. The laundry room is equipped with washing machines, dryers, and irons. Additionally, the optimization model handles demand response signals, respecting user preferences while providing the required demand reduction. The sequence of devices operation is also modeled, ensuring correct operation cycles of different types of devices which are not allowed to overlap or have sequence rules. The implemented demand response program specifies a power consumption limit in each period and offers discounts for energy prices as incentives. In addition, users can define the required number of operations for each device in specific periods, and the preferences regarding the operation of consecutive days. In the case study, results have been obtained regarding six scenarios that have been defined to survey about effects of different energy tariffs, power limitations, and incentives, in a laundry room equipped with three washing machines, two dryers, and one iron. A sensitivity analysis of the power consumption limit is presented. The results show that the proposed methodology is able to accommodate the implemented scenario, respecting user preferences and demand response program, minimizing energy costs. The final electricity price has been calculated for all scenarios to discuss the more effective schedule in each scenario.
Highlights
Nowadays, the issue of energy consumption has attracted much attention regarding its relations with environmental problems, economic developments, and sustainability of life [1]
This paper proposes an optimization method to optimize the power consumption of an industrial building based on a combination of shift-able loads, user preferences, and dynamic electricity prices
Demand response programs play an important role in the context of building energy management
Summary
The issue of energy consumption has attracted much attention regarding its relations with environmental problems, economic developments, and sustainability of life [1]. The uncertainty and stochasticity of RERs require comprehensive and precise planning to manage their energy generation and take advantage of them as much as possible [5] Another important asset of the energy system to maintain balance and improve its efficiency can be called demand response (DR) programs. Demand side management (DSM) offers incentives to receive flexibility from the consumer side to modify their consumption pattern in response to varying electricity prices, technical problems of the grid, available loads, or incentive payments. This process makes both sides beneficiaries based on grid condition and economic benefits for consumers and producers [6,7]
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