A Novel Energy System Integrated With Solar Power, Advanced Electric Vehicle and Home Heat Pumps

Author(s):  
Hideyuki Chisaka ◽  
Tsuguhiko Nakagawa

In order to reduce the quantity of CO2 emissions economically, it is important to construct a Smart Community which is expected to be one of the solutions. In a Smart Community, energy supply and demand system is developing to manage with ICT (Information and Communication Technology) to utilize energy efficiently and increase the amount of renewable energy. In one of the systems, “Photovoltaic power generator (hereinafter referred to as PV) & Electric Vehicle (hereinafter referred to as EV) Smart System” has been developed. In the “PV & EV Smart System”, PV power is charged directly to the EV battery, and then the charged PV power is consumed by running and air-conditioning energy of a car and supplied to a home. This system is able to reduce the quantity of CO2 emissions with high economic efficiency. In order to expand the system, it is necessary to spread EV. So, it should solve the issues of short driving distance, the high cost of storage battery and the risk of dead battery. Therefore, the authors have proposed an advanced EV such as AI-EV (Air-conditioner Integrated Electric Vehicle). AI-EV has a novel hybrid system which drives the air-conditioning system and generates electric power in the case of a low air-conditioning load through the use of a small-engine. PV power can not only reduce car fuels but also replace with gas and liquid fuels which are used at a home, causing the huge effect of reducing CO2 emissions as the whole system. In this paper, a novel energy system which is integrated with solar power, advanced electric vehicle and CO2 heat pump water heater as home heat pumps has been proposed. A mathematical simulation model which evaluates for the PV power generation, AI-EV energy consumption and home heat pumps has been developed. CO2 emissions and economic efficiency are calculated and compared with those of the conventional system. As the result, the novel energy system is able to reduce more than 30% of the quantity of CO2 emissions in comparison with the conventional system as the whole system, and the system can reduce about 60% of the quantity of CO2 emissions in comparison with the conventional system as a home system. The economic efficiency is evaluated by more than 6.0% of IRR (Internal Rate of Return) without some subsidies when the legal service life of the depreciation equipment is assumed 14 years. Therefore, the novel energy system can be widely spread in the future.

2019 ◽  
Author(s):  
Ranran Wang ◽  
Valentina A. Assenova ◽  
Edgar Hertwich

Prior research on the empirical relationship between anthropogenic carbon dioxide (CO2) emissions and economic growth, as measured by increases in gross domestic product (GDP), indicate that a 1% growth in GDP can lead to anything between an increase in emissions by 2.5% to a decline by 0.3%. Studies have paid little attention to independent mechanisms that reduce emissions. Statistical properties of the data undermine the estimation techniques used in many studies. To address these shortcomings, we used novel methods and panel data integrating emissions, economic, and energy-system characteristics across 70 economies over 1970-2013 to derive a universal GDP-emissions relationship and identify key emissions-reduction mechanisms. We found that, robust to a variety of estimation procedures, every 1% increase in GDP was associated with a 1% increase in CO2 emissions when controlling for other mechanisms. Emissions reductions were mainly driven by four mechanisms: (i) energy system decarbonization, (ii) increased economic efficiency, (iii) electrification, and (iv) deindustrialization. A 1% increase in these factors was associated with 0.2-1.8% reductions in CO2 emissions per year; together, these factors contributed to 18 petagrams of emissions reduction globally over 1970-2013. Decarbonization contributed most to emissions reductions in high-income economies, while economic efficiency and electrification contributed most to reductions in low-income economies.


Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2399 ◽  
Author(s):  
Martin Rüdisüli ◽  
Sinan L. Teske ◽  
Urs Elber

Electrifying the energy system with heat pumps and battery electric vehicles (BEV) is a strategy of Switzerland and many other countries to reduce CO2 emissions. A large electrification, however, poses several new challenges for the electricity system, particularly in combination with a simultaneous substitution of nuclear power plants (NPP) by volatile renewables such as photovoltaics (PV). In this study, these challenges in terms of additional electricity demands, deficits and surpluses as well as effective CO2 mitigation are assessed in a dynamic and data-driven approach. To this end, electricity demand and production profiles are synthesized based on measured data and specifications and assumptions of the key technologies at a high temporal resolution. The additional electricity demand of heat pumps is estimated from hourly measured heat demand profiles of a Swiss district heating provider, while for BEV different recharging patterns are combined. For electricity production, NPP are deducted from the current electricity production profile, while PV is added at an hourly resolution. In order to estimate CO2 emissions, life-cycle analysis (LCA) CO2 intensities of the different technologies are used. It is shown that with a BEV and heat pump penetration of 20% and 75%, respectively, there is an almost 25% (13.7 TWh/year) increase of the electricity demand and—just as challenging—an additional maximum power requirement of 5.9 GWh/h (hourly-averaged power). Without additional storage options, large amounts of electricity must be imported in winter and at night, while in summer at noon there is a large surplus from PV. Due to their high CO2 intensities—at least for the next decades—electricity imports and PV may—depending on the reference scenario (with or without NPP) and assumptions on other key parameters—even offset the overall CO2 savings of a highly electrified Swiss energy system.


2010 ◽  
Vol 130 (9) ◽  
pp. 826-832 ◽  
Author(s):  
Tomoyuki Yamada ◽  
Masaaki Takagi ◽  
Hiromi Yamamoto ◽  
Kenji Yamaji

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3061 ◽  
Author(s):  
Shazia Noor ◽  
Hadeed Ashraf ◽  
Muhammad Sultan ◽  
Zahid Mahmood Khan

This study provides comprehensive details of evaporative cooling options for building air-conditioning (AC) in Multan (Pakistan). Standalone evaporative cooling and standalone vapor compression AC (VCAC) systems are commonly used in Pakistan. Therefore, seven AC system configurations comprising of direct evaporative cooling (DEC), indirect evaporative cooling (IEC), VCAC, and their possible combinations, are explored for the climatic conditions of Multan. The study aims to explore the optimum AC system configuration for the building AC from the viewpoints of cooling capacity, system performance, energy consumption, and CO2 emissions. A simulation model was designed in DesignBuilder and simulated using EnergyPlus in order to optimize the applicability of the proposed systems. The standalone VCAC and hybrid IEC-VCAC & IEC-DEC-VCAC system configurations could achieve the desired human thermal comfort. The standalone DEC resulted in a maximum COP of 4.5, whereas, it was 2.1 in case of the hybrid IEC-DEC-VCAC system. The hybrid IEC-DEC-VCAC system achieved maximum temperature gradient (21 °C) and relatively less CO2 emissions as compared to standalone VCAC. In addition, it provided maximum cooling capacity (184 kW for work input of 100 kW), which is 85% higher than the standalone DEC system. Furthermore, it achieved neutral to slightly cool human thermal comfort i.e., 0 to −1 predicted mean vote and 30% of predicted percentage dissatisfied. Thus, the study concludes the hybrid IEC-DEC-VCAC as an optimum configuration for building AC in Multan.


2021 ◽  
Vol 288 ◽  
pp. 116640
Author(s):  
Verena Heinisch ◽  
Lisa Göransson ◽  
Rasmus Erlandsson ◽  
Henrik Hodel ◽  
Filip Johnsson ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1161
Author(s):  
Maedeh Rahnama Mobarakeh ◽  
Miguel Santos Silva ◽  
Thomas Kienberger

The pulp and paper (P&P) sector is a dynamic manufacturing industry and plays an essential role in the Austrian economy. However, the sector, which consumes about 20 TWh of final energy, is responsible for 7% of Austria’s industrial CO2 emissions. This study, intending to assess the potential for improving energy efficiency and reducing emissions in the Austrian context in the P&P sector, uses a bottom-up approach model. The model is applied to analyze the energy consumption (heat and electricity) and CO2 emissions in the main processes, related to the P&P production from virgin or recycled fibers. Afterward, technological options to reduce energy consumption and fossil CO2 emissions for P&P production are investigated, and various low-carbon technologies are applied to the model. For each of the selected technologies, the potential of emission reduction and energy savings up to 2050 is estimated. Finally, a series of low-carbon technology-based scenarios are developed and evaluated. These scenarios’ content is based on the improvement potential associated with the various processes of different paper grades. The results reveal that the investigated technologies applied in the production process (chemical pulping and paper drying) have a minor impact on CO2 emission reduction (maximum 10% due to applying an impulse dryer). In contrast, steam supply electrification, by replacing fossil fuel boilers with direct heat supply (such as commercial electric boilers or heat pumps), enables reducing emissions by up to 75%. This means that the goal of 100% CO2 emission reduction by 2050 cannot be reached with one method alone. Consequently, a combination of technologies, particularly with the electrification of the steam supply, along with the use of carbon-free electricity generated by renewable energy, appears to be essential.


Resources ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 52
Author(s):  
Annette Steingrube ◽  
Keyu Bao ◽  
Stefan Wieland ◽  
Andrés Lalama ◽  
Pithon M. Kabiro ◽  
...  

District heating is seen as an important concept to decarbonize heating systems and meet climate mitigation goals. However, the decision related to where central heating is most viable is dependent on many different aspects, like heating densities or current heating structures. An urban energy simulation platform based on 3D building objects can improve the accuracy of energy demand calculation on building level, but lacks a system perspective. Energy system models help to find economically optimal solutions for entire energy systems, including the optimal amount of centrally supplied heat, but do not usually provide information on building level. Coupling both methods through a novel heating grid disaggregation algorithm, we propose a framework that does three things simultaneously: optimize energy systems that can comprise all demand sectors as well as sector coupling, assess the role of centralized heating in such optimized energy systems, and determine the layouts of supplying district heating grids with a spatial resolution on the street level. The algorithm is tested on two case studies; one, an urban city quarter, and the other, a rural town. In the urban city quarter, district heating is economically feasible in all scenarios. Using heat pumps in addition to CHPs increases the optimal amount of centrally supplied heat. In the rural quarter, central heat pumps guarantee the feasibility of district heating, while standalone CHPs are more expensive than decentral heating technologies.


2013 ◽  
Vol 6 (2) ◽  
pp. 520-528 ◽  
Author(s):  
Bárbara Torregrosa-Jaime ◽  
Carmen Vasile ◽  
Michel Risser ◽  
Christian Muller ◽  
Jose Corberan ◽  
...  
Keyword(s):  

2017 ◽  
Vol 140 (1) ◽  
Author(s):  
Carlos R. de Nardin ◽  
Felipe T. Fernandes ◽  
Adriano J. Longo ◽  
Luciano P. Lima ◽  
Felix A. Farret ◽  
...  

This paper presents a comparison of air conditioners using the conventional heating, ventilation, and air conditioning heat pumps and the one using solar heat stored underground, also known as shallow geothermal air conditioning. The proposed air conditioner with solar heat stored underground reunites practical data from an implementation of the heuristic perturb-and-observe (P&O) control and a heat management technique. The aim is to find out the best possible heat exchange between the room ambient and the underground soil heat to reduce its overall consumption without any heat pump. Comparative tests were conducted in two similar rooms, each one equipped with one of the two types of air conditioning. The room temperature with the conventional air conditioning was maintained as close as possible to the temperature of the test room with shallow geothermal conditioning to allow an acceptable data validation. The experiments made both in the winter of 2014 and in the summer of 2015 in Santa Maria, South Brazil, demonstrated that the conventional air conditioner consumed 19.08 kWh and the shallow geothermal conditioner (SGC) consumed only 4.65 kWh, therefore, representing a reduction of energy consumption of approximately 75%.


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