PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Powiadomienia systemowe
  • Sesja wygasła!
Tytuł artykułu

A review on demand response based ancillary services offered by industries

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Industrial power consumers have a considerable share of the global power demand; as a result, effective solutions have to be adopted to optimize the industrial power consumption. Demand response Programs (DRPs) provide such solutions. These programs are growingly studied as the industrial power consumption has increased and the implementation costs of the new technologies have decreased in recent years. DRP implementation reduces the dependency on the expensive energy storage technologies and flexible backup power sources. It seems that, DRP is not widely used in industry, yet its benefits are not practically exploited. The present work reviews the implementation of DRPs in industry and introduces the opportunities of industries for offering ancillary services to the market. Then, the industries which highly suit the specific kind of industrial DRPs are introduced and their processes are analyzed from the DRP point of view. Next, the DRP projects are continentally categorized and the advancements of different countries in specific kind of industrial DRPs are noted. Finally, the discussions and conclusion are presented.
Rocznik
Strony
32--55
Opis fizyczny
Bibliogr. 100 poz., rys., tab., wykr.
Twórcy
  • Department of Electrical and Computer Engineering, Jundi-Shapur University of Technology, Dezful, Iran
  • Department of Electrical and Computer Engineering, Jundi-Shapur University of Technology, Dezful, Iran
Bibliografia
  • [1] http://china.nikkeibp.corn.cn/eco/todaykWd/4384-20130402.html; [accessed February 2017].
  • [2] Faria P, Valez. Demand response in electrical energy supply: an optimal real time pricing approach. Energy 2011; 36: 5374-84.
  • [3] Ahmad Ghasemi. Optimal reconfiguration and scheduling of a smart distribution network with uncertain Renewables and price-responsive demand, Journal of Power Technologies 96 (3) (2016) 183-193.
  • [4] Ming-CH, Su-YL, Yen HC. Stochastic-multi objective market equilibrium analysis of a DR program in energy market under uncertainty, Applied Energy 182 (2016) 500-506.
  • [5] Nikolaos G. Paterakisa, Ozan E, Joa.a C. An overview of DR: Key-elements and international experience, Renewable and Sustainable Energy Reviews 69 (2017) 871-891
  • [6] Mohagheghi S, Raji N. Managing industrial energy intelligently: DR scheme. IEEE Ind Appl Mag 2014; 20:53-62.
  • [7] Vardakas J.S, Zorba N, Verikoukis C.V. A survey on DR programs in smart grids: pricing methods and optimization algorithms, IEEE Commun.Surv. Tutor. 17 (1) (2014) 152-178.
  • [8] Aghaei J, Alizadeh M.I. DR in smart electricity grids equipped with renewable Energy sources: A review, Renewable and Sustainable Energy Reviews 18 (2013) 64-72
  • [9] National action plan on DR, The federal energy regulatory commission, 2010.
  • [10] Pilo F, Pisano G, Soma G. Advanced DMS to manage active distribution networks. IEEE Bucharest power tech conference. Bucharest: Romania; 2009
  • [11] US Department of Energy, Benefits of DR in Electricity Markets and Recommendations for achieving them, Report to the United States Congress, February 2006, available online: http://eetd.lbl.gov; [accessed February 2017].
  • [12] Albadi M.H, El-Saadany E.F. Demand response in electricity markets: an overview, in: IEEE PES GM, Montreal, 2007, pp. 1-5.
  • [13] Albadi M.H, El-Saadany E.F. A summary of DR in electricity markets, Electric Power Systems Research 78 (2008) 1989-1996.
  • [14] Jun Dong n, Guiyuan X, Rong L. Demand response in China: Regulations, pilot projects and recommendations -A review, Renewable and Sustainable Energy Reviews 59 (2016)13-27.
  • [15] Choate W. US energy requirements for aluminum production historical perspective theoretical limits and new opportunities in: J.A.S. Green (Ed.). Aluminum Recycling and Processing for Energy Conservation and Sustainability, ASM International, 2007, p. 267.
  • [16] Castro P.M, Sun L, Harjunkoski I. Resource-task network formulations for industrial demand side management of a steel plant, Ind. Eng. Chem. Res. 52(36) (2013) 13046-13058.
  • [17] Gholian A, Mohsenian-Rad H, Hua Y. Optimal industrial load control in smart grid, IEEE Trans. Smart Grid PP (99) (2015) 1-12.
  • [18] Todd D, Caufield M, Helms B. Providing Reliability Services through DR: A Preliminary Evaluation of the DR Capabilities of Alcoa Inc. ORNL/TM-2008/233.
  • [19] Hirst E, Kirby B. Opportunities for Demand Participation in New England Contingency Reserve Markets, New England DR Initiative technical paper, February 2003.
  • [20] Kristiansen T. The Nordic approach to market-based provision of ancillary services, Energy Policy 35 (July (7)) (2007) 3681-3700. [21] Liu Z, Liu I, Low S, Wierman A. Pricing data center demand response, 2014 ACM Int. Conf. Meas. Model. Compute. Syst. (2014) 111-123.
  • [22] Gholian A, Mohsenian-Rad H, Qin J, Optimal industrial load control in smart grid: a case study for oil refineries, 2013 IEEE Power & Energy Society General Meeting (2013) 1-5.
  • [23] Aslam W, Saban M, Akhtar F, Zaffar N.A. Smart meters for industrial energy conservation and efficiency optimization in Pakistan: scope, technology and applications, Renew. Sustain. Energy Rev. 44 (2015) 933-943.
  • [24] Samad T, Kiliccote S. Smart grid technologies and applications for the Industrial sector, Compute. Chem. Eng. 47 (December) (2012) 76-84.
  • [25] Finn P, Fitzpatrick C. Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing, Applied Energy 113 (2014) 11-21.
  • [26] Grein A, Pehnt M. Load management for refrigeration systems: Potentials and barriers, Energy Policy 39 (2011) 5598-5608
  • [27] Samada T, Kiliccote S. Smart grid technologies and applications for the industrial sector, Computers and Chemical Engineering 47 (2012) 76- 84
  • [28] Hasnain S.M, Alabbadi N.M. Need for thermal-storage air-conditioning in Saudi Arabia, Applied Energy 65 (2000) 153±164
  • [29] Alcazar Ortega M. Evaluation and Assessment of New DR Products Based on the Use of Flexibility in Industrial Processes: Application to the Food Industry, 2011, Manuel Alcazar Ortega
  • [30] Lekov A, Thompson L, McKane A, Rockoff A, Piette M.N. Opportunities for Energy Efficiency and Automated DR in Industrial Refrigerated Warehouses in California, Ernest Orlando Lawrence Berkeley national laboratory
  • [31] Rahnama S, Green T, Hillerup Lyhne C, Dimon Bendtsen J. Industrial Demand Management Providing Ancillary Services to the Distribution Grid: ieee transactions on control systems technology
  • [32] Paulus M, Borggrefe F, The potential of demand-side management in energy-intensive industries for electricity markets in Germany, Applied Energy 88 (2011) 432-441
  • [33] Ashok S, Banerjee B. Peak-load management in steel plants, Applied Energy 83 (2006) 413- 424
  • [34] Castro P.M, Sun L, Harjunkoski I. Resource-Task Network Formulations for Industrial Demand Side Management of a Steel Plant, Ind. Eng. Chem. Res. 2013, 52, 13046-13058
  • [35] Iiro H.H, Guido Sand IgnacioE H, Sebastian Engell G. Optimization of Steel Production Scheduling with Complex Time-Sensitive Electricity, Computers and Chemical Engineering, 8-2-2015
  • [36] Ashok S, R. Banerjee, Load-management applications for the industrial sector, Applied Energy 66 (2000) 105±111[37] Dionysios P. Xenos A, Izzati Mohd Noor A, Matloubi M, Cicciotti M, Haugen T, Thornhill N. Demand-side management and optimal operation of industrial electricity consumers: An example of an energy-intensive chemical plant, Applied Energy 182 (2016) 418-433
  • [38] Ding Y.M, Hong S.H, Li X.H. A Demand response Energy Management Scheme for Industrial Facilities in Smart Grid, DOI 10.1109/TII.2014.2330995, IEEE Transactions on Industrial Informatics
  • [39] Choobineh M Mohagheghi S. Optimal Energy Management in an Industrial Plant Using OnSite Generation and Demand Scheduling, IEEE Transactions On Industry Applications, Vol. 52, No. 3, May/June 2016
  • [40] Xu, F.Y, Lai L.L. Novel Active Time-Based DR for Industrial Consumers in Smart Grid, IEEE transactions on industrial informatics, VOL. 11, NO. 6, December 2015
  • [41] YAO M, HU ZH, Zhang N, Duan W, Zhang J. Low-carbon benefits analysis of energy-intensive industrial DR resources for ancillary services, J. Mod. Power Syst. Clean Energy (2015) 3(1):131-138
  • [42] Vujanic R, Mari'ethoz S, Goulart P, Morari M. Robust Integer Optimization and Scheduling Problems for Large Electricity Consumers, 2012 American Control Conference
  • [43] Zhang X, Hug G. Bidding Strategy in Energy and Spinning Reserve Markets for Aluminum Smelters' DR, 978-l-4799-1785-3/15/$31.00 (c:)2015 IEEE
  • [44] Torriti J, Mohamed G. Hassan, Leach M. DR experience in Europe: Policies, programs and implementation, Energy 35 (2010) 1575-1583
  • [45] Eissa M.M. Demand side management program evaluation based on industrial and commercial field data, Energy Policy 39 (2011) 5961-5969
  • [46] MacDonald J, Cappers P, Callaway D, Kiliccote S. A Comparison of Opportunities and Challenges in the US Wholesale Markets, November 2012
  • [47] ENER NOC, Demand response and Ancillary Services, September 2008
  • [48] Jiang H, Lin J, Song Y, Hill D.J. MPC-Based Frequency Control With Demand-Side Participation: A Case Study in an Isolated Wind-Aluminum Power System, 2014 ieee, ieee transactions on power systems
  • [49] Filimonovaa A.A, Lev Kazarinova S, Aleksandrovna Barbasovaa T. Dispatching control of industrial facility power consumption, Energy Procardia 83 (2015) 111 - 120
  • [50] Aalami H.A, Parsa Moghaddam M, Yousefi G.R. Demand response modeling considering Interruptible/Curtailable loads and capacity market programs, Applied Energy 87 (2010) 243-250.
  • [51] Yao M, Hu Z, Zhang N, Duan W, Zhang J. Low-carbon benefits analysis ofenergy-intensive industrial DR resources for ancillary services. Mod. Power Syst. Clean Energy 3.1 (2015) 131- 138.
  • [52] Olsen D. Opportunities for Energy Efficiency and DR in the California Cement Industry, Lawrence Berkeley National Laboratory Report, 2012,1-25.
  • [53] Rose M. Power costs reduction measures at Lafarge Whitehall plant, Cement Industry Technical Conference (1997) 89-95.
  • [54] Horvath L(2013). Energy Technology Perspective 2014 .IEA
  • [55] Nezhad H. World Energy Scenarios To 2050 .Metropolitan State University Minneapolis, (2009).
  • [56] Todd D, Caufield M, Helms B, Starke M, Kirby B, Kueck J. Providing Reliability Services through DR: A Preliminary Evaluation of the Demand Response Capabilities of Alcoa Inc., ORNL/TM, 2009, pp. 233-285.
  • [57] Center for Industrial Research and Service (CIRAS): "Energy-Related Best Practices: A source book for the food industry". Iowa State University. Ames IA, 2005
  • [58] Berk, Z. Food process engineering and technology, Elsevier Inc. Food Process Engineering and Technology, Academic Press, ISBN: 978-0-12-373660-4. San Diego, 2009. Available online: http://www.sciencedirect.com
  • [59] Alcazar-Ortega M, Escriva-Escriva G, Alvarez-Bel C, Domijan A. A case of improvement of efficiency in the meat industry: Speed variation of fans in drying chambers". Presented to the Elsevier Journal of Food Engineering, December 2010.
  • [60] Ramirez, C.A, Patel M., Blok K. How much energy to process one pound of meat? A comparison of energy use and specific energy consumption in the meat industry for European countries". Elsevier Energy, 31, pp. 2047-2063, September 2006.
  • [61] Richman R, Pasgualini P, Kirsh A. Life-cycle analysis of roofing insulation levels for cold storage buildings, J. Archit. Eng. 15 (2) (2009) 55-61.
  • [62] Goli S, Mckane A, Olsen D, Demand response opportunities in industrial refrigerated warehouses in California, ACEEE Summer Study on Energy Efficiency in Industry (2011) 1-14.
  • [63] Brown R. Report to congress on server and data center energy efficiency, Public law 109-431, Lawrence Berkeley National Laboratory, 2007.
  • [64] Ghatikar G, Ganti V, Matson N, Piette M.A. Demand response opportunities and enabling technologies for data centers: Findings from field studies, 2012, 1-51.
  • [65] Power, Pollution and the Internet, NY Times.
  • [66] Koomey J, Growth in Data Centre Electricity Use 2005 to 2010, Anal. Press, Oakland CA, 2011.
  • [67] Ghatikar G. DEMAND RESPONSE and open automated DR opportunities for data centers, California Energy Commission, PIER Program and Pacific Gas and Electric Company (PG&E) (2010).
  • [68] Hu Z, Kim JH, Wang J, Byrne J. Review of dynamic pricing programs in the U.S. and Europe: status quo and policy recommendations. Renew Sustain Energy Rev 2015; 42:743-51.
  • [69] Lui J, Stirling W, Marcy HO. Get smart. IEEE Power Energy Mag 2010; 8:66-78.
  • [70] Southern California Edison (SCE) Company - Demand response. https://sce.com/wps/portal/home/business/savings-incentives/demand-response accessed 02.06.2015].
  • [71] CPS Energy DR Program for Industrial and Commercial Customers. [https://www.cpsenergy.com/content/dam/corporate/en/ Documents/Energy Efficiency/reguirements_demand_response.pdf [Last accessed: 02.06.2015].
  • [72] AEP Texas & EnerNOC Joint Irrigation Load Management Program.[http://getmore.enernoc.com/AEP Texas ILM ].
  • [73] AEP Texas Load Management Standard Offer Programs (SOPs).[http://www.aepefficiency.com/ load management/ICC/index.html last accessed: 02.06.2015].
  • [74] US Department of Energy - Energy Incentive Programs in Texas [http://energy.gov/eere/femp/energy-incentive-programs-texas] Last accessed: 02.06.2015.
  • [75] El Paso Electric Company Load Management Programs. [https://www.epelectric.com/tx/business/texas-load-management-program last accessed: 02.06.2015]
  • [76] US Department of Energy - Energy Incentive Programs in Florida. [http://energy.gov/eere/femp/articles/energy-incentive-programs-florida Last accessed: 02.06.2015].
  • [77] New York Independent System Operator (NYISO) DR [http://www.nyiso.com/public/markets_operations/market_data/demand_response/index.jsp last accessed: 02.06.2015]. Programs.
  • [78] KiWi Power Company DR Services. [http://www.kiwipowered.com/services_process.html last accessed: 02.06.2015].
  • [79] Capgemini. DR: a decisive breakthrough for Europe. Available from: <http://www.capgemini.com/resources>; 2008.
  • [80] Turvey R. Ensuring adequate generation capacity. Utilities Policy 2003; 11(2):95-102.
  • [81] Smart Energy Demand Coalition (SEDC), Report: Mapping DR in Europe Today. Brussels; September 2015.
  • [82] VTT. DR activities in Finland. Workshop on DR. Copenhagen, 13 November 2006.
  • [83] Siderius S, Leussink E, Nonhebel P. Scan vraag response klein verbruikers elektriciteit. Utrecht: Senter Novem; 2004.
  • [84] ELIA Belgium's Electricity Transmission System Operator DR. [http://www.elia.be/-/media/files/Elia/PressRe leases/2013/EN/20131122_ Demand-Response_EN.pdf Last accessed: 02.06.2015].
  • [85] Federation of Belgian Industrial Energy Consumers (FEBELIEC) - DR - Status in Belgium, Presentation at JRC on 15 October 2013. [ http://iet. jrc.ec.europa.eu/ energyefficiency / sites/ energyefficiency /files/files/ documents/ even ts/9_febeliec_l5102013.pdf last accessed: 02.06.2015].
  • [86] Restore Company Profile. [ http:/ /www.restore.eu/company last accessed: 02.06.2015].
  • [87] Energy Pool Company- DR in Belgium. [ http://www.energypool.eu/en/demand-responsein-belgium/] Last accessed: 02.06.2015].
  • [88] Ausgrid Company - Possible DR Strategies and Applied Pilot Projects. [http://www.ausgrid.com.au/Common/Industry /Demand-management/Demand- ManagementProjects Last accessed: 02.06.2015].
  • [89] Ausgrid Company - Dynamic Peak Rebate Trial Program. [(http://www.ausgrid.com.au/Common/Industry /Demand-management/Dynamic-peak-rebatetrial) last accessed: 02.06.2015].
  • [90]AusNet Services Company - Demand Management Case Study Results. [http://www.ausnetservices.eom.au/CA257D1D007678El/Lookup/Managing_Usage_Demand_Management_Demand_Response/Sfile/AusNetServices_ElectricityDemand_Response_Case_Study_vl.0.pdf last accessed: 02.06.2015].
  • [91] AusNet Services Company - Demand Management Program Targets. [http://www.ausnetservices.eom.au/CA257DlD007678El/Lookup/Reports/$file/EnergyinsightsDemandManagement.pdf last accessed: 02.06.2015].
  • [92] EnerNOC Company - DR Programs in New Zealand. [ http:// www.enernoc.com/forbusinesses/demand smart/in-new-Zealand last accessed: 02.06.2015].
  • [93] Energy Management Association of New Zealand - DR Management in New Zealand.[http://www.emanz.org.nz/energy-specialists/demand-response-management last accessed: 02.06.2015].
  • [94] KYOCERA Globa Website - News Release: KYOCERA, IBM Japan and TOKYU COMMUNITY Start Demonstration Test of Automatic DR Energy Management Systems in Japan [http://global.kyocera.com/news/2014/1002_gptn.html last accessed: 02.06.2015].
  • [95] Green Tech Media. Japan's Appetite for DR Awakens. [(https://www.greentechmedia.com/articles/read/Japan-Awakens-Its-Appetite-for- Demand-Response) Last sccessed” 02.06.2015].
  • [96] Power-Technology.com. DR Roll Out - Saving Power at Peak Times. [ http://www.powertechnology.com/features/feature-demand-responseroll- out-saving-power-peak-times/ last accessed: 02.06.2015].
  • [97] Green Tech Media. Can China Create a DR Industry from Scratch [http://www.greentechmedia.com/articles/read/can-china-create-ademand- response-industry-from-scratch last accessed: 02.06.2015].
  • [98] BYME International Company. BYME Signs Contract with CLP for Automatic DR. [http://www.byme-international.com/en/content/bymesigns- contract-clp-automaticdemand-response-project last accessed: 02.06.2015].
  • [99] Eskom Company - DR Programs. [ http://www.eskom.eo.za/ sites/idm/Manage Your Consumption/Pages/DemandResponse.aspx last accessed: 02.06.2015].
  • [100] Chetana Kallakuri, Shruti Vaidyanathan, Meegan Kelly, Rachel Cluett - The 2016 International Energy Efficiency Scorecard, July 2016, Report El 602.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-023f5705-7cf0-4381-99ca-221698db205c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.