Optimal energy management in all-electric residential energy systems with heat and electricity storage

Terlouw, Tom; Sark, W.G.J.H.M. van; Bauer, Christian; Sark, Wilfried van

doi:10.1016/j.apenergy.2019.113580

Cited by 69 publications

(39 citation statements)

References 45 publications

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“…The performance of the load forecasting module can be evaluated by calculating error using Equation (17). The error percentages for n = 6 and n = 27 are 12.33% and 7.83%, respectively: Figure 8 illustrates the comparative results for battery SOC, battery power and grid exchange power variations, in the fixed tariff system.…”

Section: Simulation Resultsmentioning

confidence: 99%

Optimal energy management for PV‐integrated residential systems including energy storage system

Varzaneh

Raziabadi

Hosseinzadeh

et al. 2021

IET Renewable Power Gen

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Economic profit is the main incentive for PV-integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule-based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid-connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Section: Simulation Resultsmentioning

confidence: 99%

Optimal energy management for PV‐integrated residential systems including energy storage system

Varzaneh

Raziabadi

Hosseinzadeh

et al. 2021

IET Renewable Power Gen

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“…Distributed energy storage systems are essential technologies for enabling the dispatchability of RES. Different types of energy storage systems can be implemented in the built environment such as electricity storage (e.g., batteries) and heat storage [94]. At the moment, the most common forms of distributed energy storage in the built environment are BESS, where the storage medium is typically installed within the building (i.e., behind the meter) [94].…”

Section: Distributed Energy Storage Systems For Buildings Applicationsmentioning

confidence: 99%

“…Different types of energy storage systems can be implemented in the built environment such as electricity storage (e.g., batteries) and heat storage [94]. At the moment, the most common forms of distributed energy storage in the built environment are BESS, where the storage medium is typically installed within the building (i.e., behind the meter) [94]. The main drivers behind the market growth of BESS are attributed to the large-scale integration of RES, the declining costs of battery storage per energy unit, and the policy developments in some countries (e.g., using batteries to phase out gas peaker plants, providing subsidies and incentive programs).…”

Section: Distributed Energy Storage Systems For Buildings Applicationsmentioning

confidence: 99%

“…CES can be defined as an 'ESS located at the consumption level which can perform several applications with a positive impact for both end-users and the network' [98]. Consequently, CES attracts attention, and different studies aim to capture additional benefits of CES when providing a combination of applications in the built environment [94,95,[97][98][99].…”

Section: Distributed Energy Storage Systems For Buildings Applicationsmentioning

confidence: 99%

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Review of Energy in the Built Environment

et al. 2020

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Urban environments can be key to sustainable energy in terms of driving innovation and action. Urban areas are responsible for a significant part of energy use and associated greenhouse gas emissions. The share of greenhouse gas emissions is likely to increase as global urban populations increase. As over half of the human population will live in cities in the near future, the management of energy supply and demand in urban environments will become essential. Developments such as the transformation of the electricity grid from a centralised to a decentralised system as well as the electrification of the transportation and heating systems in buildings will transform the urban energy landscape. Efficient heating systems, sustainable energy technologies, and electric vehicles will be critical to decarbonise cities. An overview of emerging technologies and concepts in the built environment is provided in this literature review on the basis of four main areas, namely, energy demand, supply, storage, and integration aspects. The Netherlands is used as a case study for demonstrating evidence-based results and feasibility of innovative urban energy solutions, as well as supportive policies.

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“…Thus, several works have paid attention to defining the optimal plant configuration and size of SEHC systems. Different strategies have been studied to couple solar-assisted plants with batteries storage systems and all of them have highlighted the effectiveness of this configuration in reaching high levels of solar energy self-consumption [14][15][16][17]. The PV energy can be stored in either electric or thermal form as in [18] where a PV-driven electric heat pump installed in a reference building located in Sweden has been analyzed.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes

2020

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In this paper two solar electric-driven air conditioning systems are compared and analyzed from an energy and environmental point of view. Both systems satisfy the electricity, space heating and cooling needs of an existing multi-purpose, multi-story building that is simulated with TRNSYS 17. The first one, considered as reference system, is based on a centralized electric heat pump coupled with a conventional photovoltaic plant installed 10 years ago. The second one, hereinafter proposed system, has a hybrid configuration, consisting of a ground-source heat pump, a low temperature thermal network and a series of electric heat pumps, one per apartment. In addition, the plant is connected to a high-performance commercial photovoltaic system equipped with a solar tracking system to the panels. Five different solutions realized with vertical, two horizontal orientations, polar and two-axis trackers are taken into account and compared with the standard fixed configuration. The last hybrid configuration can be seen as an upgrade of an existing decentralized air conditioning system in which the local electric heat pumps are converted in water-to-water devices that interact with the thermal grid representing the heat source/sink for them. In both solar electric heating and cooling plants the photovoltaic system is installed on the building roof and it produces electricity to feed the heat pumps and end-users. The electricity surplus or the load not covered by solar field is fed to/taken from power grid. The energy and environmental analyses have been performed by considering both average annual and monthly values of power grid efficiency and CO2 emission factor for electricity. By comparing reference system and proposed one equipped with a two-axis tracker system a primary fossil energy saving of 101.67% is achieved in summer period and 28.10% in winter period. These percentages are the highest values recorded, even if, for all configurations the energy analysis rewards the proposed system. The results of environmental analysis demonstrate that the reference system has the worst performances compared to proposed system with all solar tracker systems selected guarantying positive values for avoided carbon dioxide index up to 45.86%.

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Optimal energy management in all-electric residential energy systems with heat and electricity storage

Cited by 69 publications

References 45 publications

Optimal energy management for PV‐integrated residential systems including energy storage system

Optimal energy management for PV‐integrated residential systems including energy storage system

Review of Energy in the Built Environment

Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes

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