Thechief aim of this assignment is to write a review for articles. Thefirst article will be reviewed and then using the Social ScienceCitation Index, I will find another article that cites the firstarticle.
Thechief problem of the paper entails determining the Distributed EnergyResources (DER) of both United States and Chinese buildings and howcost and carbon dioxide can be mitigated. The subject matter is ofimportance since it aims at determining how optimal building energycan become realized. The optimal building energy is critical since itmitigates the economical cost attached to heating the buildings indifferent climate zones. Besides, it is of importance because ittargets at reducing carbon dioxide emissions in heating, which iscrucial in curbing the issue of climate change.
Themethodology used involved modeling the expected economies of DER in2020-2025 for commercial and multi-family living building in variedclimate zones. The Distributed Energy Resources Customer AdoptionModel (DER-CAM) optimization tool was used. In the study, 16 Americancities were chosen for DER system analysis.1Every city acted as a representative of the different climate zonesin the United States. Alternatively, 11 Chinese cities were selectedas representative of the different climate zones experienced in theregion. The optimal building energy economic performances werecalculated using the DER-CAM. Different DER such as photovoltaics,combined heat and power units, and battery storage were considered.
Themain conclusion of the authors is that the average energy costsavings for U.S. commercial buildings from suggested investments inDER is 17%, while it is 12% in Chinese buildings.2In case technology properties are fixed, the prices and structure ofelectricity tariffs along with the value of natural gas represent themost significant factors that determine the adoption of DER andprevail over climate.3Besides, DER can be potentially competitive in both cooler and warmerclimates. Generally, DER technologies are considered betterinvestments in commercial buildings compared to residential buildingsfrom the carbon emissions reduction and economic stand point.
Thearticle citing the earlier article is, BuildingDistributed Energy Performance Optimization for China- a regionalanalysis of Building Energy Costs and CO2Emissions.The article relates to the earlier article in that it providesinformation concerning Chinese residential and commercial buildingenergy use for optimal building energy performance. Besides, theanalysis of the building is done in regard to climate zones in China.In optimizing buildings’ performance, different distributed energyresources like photovoltaics, battery voltage, and combined heat andpower were considered.4In addition, the use of the DER-CAM model was also involved in thecurrent article.
Thepaper is significant because it helps in understanding the knowledgeof how to search a related article, how to cite it and write itsreview. This knowledge can be used when conducting a research since aresearcher can find related articles having similar information.Therefore, the paper is useful in gaining research knowledge. Thepaper is well done since it has been organized in a clear mannerthrough the use of paragraphs.
Goncalo,Mendes., Wei, Feng., Michael, Stadler., Jan, Steinbach., Judy, Lai.,Nan, Zhou., Chris, Marnay., Yan, Ding., Jing, Zhao., Zhe, Tian. &Neng, Zhu. Regional analysis of building distributed energy costs andCO2 abatement: A U.S.–China comparison. ElsevierJournal,Vol. 77, 112-129, 2014.
NationalRenewable Energy Laboratory (NREL), U.S.Department of Energy Commercial Reference Building Models of theNational Building Stock,Golden, U.S.A., Rep. NREL/TP-5500-46861, 2011.
Stadler,Michael Groissbock, Markus Cardoso, Goncalo Muller, Andreas andLai, Judy. EncouragingCombined Heat and Power in California Buildings,Berkeley, California, USA, 2013.
Wei,Feng. Building Distributed Energy Performance Optimization for Chinaa Regional Analysis of Building Energy Costs and CO2 Emissions.EarnestOrlando Lawrence Berkeley National Laboratory,2013.
1 Goncalo, Mendes., Wei, Feng., Michael, Stadler., Jan, Steinbach., Judy, Lai., Nan, Zhou., Chris, Marnay., Yan, Ding., Jing, Zhao., Zhe, Tian. & Neng, Zhu. Regional analysis of building distributed energy costs and CO2 abatement: A U.S.–China comparison. Elsevier Journal, Vol. 77, pp114.
2 Goncalo, Mendes., Wei, Feng., Michael, Stadler., Jan, Steinbach., Judy, Lai., Nan, Zhou., Chris, Marnay., Yan, Ding., Jing, Zhao., Zhe, Tian. & Neng, Zhu. Regional analysis of building distributed energy costs and CO2 abatement: A U.S.–China comparison. Elsevier Journal, Vol. 77, pp 126.
3 National Renewable Energy Laboratory (NREL), U.S. Department of Energy Commercial Reference Building Models of the National Building Stock, Golden, U.S.A., Rep. NREL/TP-5500-46861, 2011.
4 Wei, Feng. Building Distributed Energy Performance Optimization for China a Regional Analysis of Building Energy Costs and CO2 Emissions. Earnest Orlando Lawrence Berkeley National Laboratory, 2013.