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The aim of this paper is to present a novel methodology to determine the correct size of the renewable energy sources (RES) and the battery storage system (BSS) that are needed to effectively convert a conventional residential building into a nearly-Zero-Energy-Building (nZEB). This is attained by properly considering the long-term history of the weather at […]

This paper proposes an integrated method based on the genetic-algorithm technique to estimate the proper capacity size of a battery storage system (BSS) that should be installed in a nearly Zero Energy Building (nZEB), in order to reach the desired degree of energy autonomy. The suggested method is referred to grid-connected nZEBs and seeks for

This paper investigates the problem of the estimation of the energy consumed by the unschedulable electric appliances in a nearly-Zero Energy Building (nZEB) and specifically, the electric appliances that their operation cannot be programmed or scheduled by a home Energy Management System (EMS). This is important for the EMS because it is mainly based on

In this paper a methodology the optimal selection of the size and the proper configuration of the renewable energy sources (RES) and the electric energy storage system (EESS) for the conversion of a conventional structure into a nearly-Zero Energy Building (nZEB) is proposed. Specifically, a genetic algorithm using historical 10-minute average data for weather conditions

This paper proposes a laboratory test environment for evaluating the performance of a nearly zero energy building (nZEB) microgrid using power-hardware-in-the-loop (PHiL) simulation. The laboratory set up consists of a lithium-ion battery array of 10kWh, a renewable energy sources power emulator (RESPE), intelligent meters (i-meter), intelligent plugs (i-plugs) and intelligent links (i-links) as well as

This paper investigates the problem of converting a conventional building to nearly zero energy building (nZEB) and a novel methodology is proposed. This is realized by properly manipulating several variables that depend on potential constructional interventions, correct selection of the power of the thermal unit according to the needs of the house, proper selection of

This paper deals with one of the most challenging problems in nearly zero energy buildings (nZEBs) of several multifaced and sometimes contradictory objectives that is the energy management. Specifically, aim of the paper is to propose an integrated control strategy (ICS) based on genetic algorithms that can provide an optimal balance between the objectives of

This paper investigates the problem of the modeling of the electric devices in a nearly zero energy building (nZEB), so as effective scheduling and programing of their operation can be attained by the energy management system. Photovoltaics (PVs) and wind turbines (WTs) as renewable energy sources (RES), a Li-ion battery energy storage system (ESS), a

With the development of the nearly zero energy buildings (nZEB), the most challenging problem is the optimal energy management of buildings with respect to multiple and conflicting objectives. In this paper, a genetic algorithm (GA) is developed for optimal electric energy use in a building, considering a balance between energy saving and a comfortable lifetime

This paper proposes an improved Battery Management System (BMS) that provides active equalization in the battery cells to reduce the total charging time and enhance the system performance. The suggested control scheme can be applied to energy storage systems with Li-ion batteries that are utilized in nearly zero energy building (nZEB) and electric vehicle (EV)