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Designing a Technology Roadmap Through Demand Response Management in Energy

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Next Generation Roadmapping

Abstract

Demand response in energy is an indispensable side of energy governance, including energy efficiency (EE), resilience in energy resource management, design of new energy developments, and governmental applications. Therefore, all further attempts to create applicable EE management would be noteworthy to reduce energy consumption to make a zero-net society and catch the Paris Agreement’s proposes. Developing and developed countries have started progressing rapidly regarding the impact and demand response in the EE context. These approaches, seen as the positive external effect of the last 20 years of climate data and the consciousness created by natural disasters, have made EE a trend in today. That is why the development of various approaches for every instrument that can be controlled in terms of energy consumption has accelerated the integration of energy science with other fields of science. Building energy management systems (BEMS), home energy management systems (HEMS), and for legacy process load (FLPL)—legacy management in energy are core elements of conventional and residential energy consumption control mechanisms in energy technology and sciences. The effect of these systems is undeniable in the energy transition and economic process. This article aims to indicate how the demand response in energy affects BEMS, HEMS, and the legacy process loads and to show which technology roadmap controls the problems that the effect will create. The research uses the Bonneville Power Administration demand response technology project to adapt Turkey’s new energy demand response–based technology roadmap. In conclusion, the article will demonstrate the technology roadmap process of the proposed approach and its analytical systems.

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References

  • Abudawod B, Bregaj N, Khalifa Z, Pizarro M (2014) Critical elements of R&D management: case study of three firms from different sectors of industry. In: Planning and roadmapping technological innovations. Springer, Cham, pp 67–100

    Chapter  Google Scholar 

  • Agreement P (2015, December) Paris agreement. In: Report of the conference of the parties to the United Nations framework convention on climate change (21st session, 2015: Paris), vol 4. HeinOnline, p 2017

    Google Scholar 

  • Alev Ü, Eskola L, Arumägi E, Jokisalo J, Donarelli A, Siren K et al (2014) Renovation alternatives to improve energy performance of historic rural houses in the Baltic Sea region. Energ Buildings 77:58–66

    Article  Google Scholar 

  • Al-Ghaili AM, Kasim H (2020) Functions-focused building energy management systems: a review. In: 2020 8th international conference on information technology and multimedia (ICIMU). IEEE, pp 9–13

    Google Scholar 

  • Arumägi E, Kalamees T (2014) Analysis of energy economic renovation for historic wooden apartment buildings in cold climates. Appl Energy 115:540–548

    Article  Google Scholar 

  • Bianco G, Bracco S, Delfino F, Gambelli L, Robba M, Rossi M (2020) A building energy management system for demand response in smart grids. In: 2020 IEEE 16th international conference on automation science and engineering (CASE). IEEE, pp 1485–1490

    Chapter  Google Scholar 

  • Bonacorda P (2015) HVAC efficiency: what it is, why it matters and how to get started. https://www.ase.org/blog/hvac-efficiency-what-it-why-it-matters-and-how-get-started. Accessed 16 June 2022

  • Bouckaert S, Pales AF, McGlade C, Remme U, Wanner B, Varro L et al (2021) Net zero by 2050: a roadmap for the global energy sector

    Google Scholar 

  • Calver P, Simcock N (2021) Demand response and energy justice: a critical overview of ethical risks and opportunities within digital, decentralised, and decarbonised futures. Energy Policy 151:112198

    Article  Google Scholar 

  • Cantarero MMV (2020) Of renewable energy, energy democracy, and sustainable development: a roadmap to accelerate the energy transition in developing countries. Energy Res Soc Sci 70:101716

    Article  Google Scholar 

  • Çatak Ç (2022) ENERGY DERIVATIVES – AN ANALYSIS OF THE TURKISH ELECTRICITY MARKET. Uluslararası İktisadi ve İdari İncelemeler Dergisi 35:17–30

    Article  Google Scholar 

  • Causes of Climate Change. https://ec.europa.eu/clima/climate-change/causes-climate-change_en. Accessed 4 Dec 2021

  • Chen CF, Xu X, Adams J, Brannon J, Li F, Walzem A (2020) When East meets West: understanding residents’ home energy management system adoption intention and willingness to pay in Japan and the United States. Energy Res Soc Sci 69:101616

    Article  Google Scholar 

  • Climate Resiliency Design Guidelines (2020) https://www.nyc.gov/assets/orr/pdf/NYC_Climate_Resiliency_Design_Guidelines_v4-0.pdf

  • D. City Manager and C. Services (2021) The city of Toronto’s net zero existing buildings strategy final report

    Google Scholar 

  • Demand Response – Analysis – IEA. https://www.iea.org/reports/demand-response. Accessed 15 June 2022

  • Dinh HT, Kim D (2021) An optimal energy-saving home energy management supporting user comfort and electricity selling with different prices. IEEE Access 9:9235–9249

    Article  Google Scholar 

  • Doukas H, Patlitzianas KD, Iatropoulos K, Psarras J (2007) Intelligent building energy management system using rule sets. Build Environ 42(10):3562–3569

    Article  Google Scholar 

  • Economidou M, Todeschi V, Bertoldi P, D'Agostino D, Zangheri P, Castellazzi L (2020) Review of 50 years of EU energy efficiency policies for buildings. Energ Buildings 225:110322

    Article  Google Scholar 

  • Electricity price statistics – Statistics Explained. https://ec.europa.eu/eurostat/statistics-explained/index.php?title=Electricity_price_statistics. Accessed 4 Dec 2021

  • F. Energy Regulatory Commission Staff. National action plan on demand response. Accessed 15 June 2022

    Google Scholar 

  • Fabbri K (2013) Energy incidence of historic building: leaving no stone unturned. J Cult Herit 14(3):e25–e27

    Article  Google Scholar 

  • Ferreira PM, Ruano AE, Silva S, Conceicao EZE (2012) Neural networks based predictive control for thermal comfort and energy savings in public buildings. Energ Buildings 55:238–251

    Article  Google Scholar 

  • Fuller S, Barber LB, Mah DNY (2019) Narratives of energy poverty in Hong Kong. Energ Buildings 191:52–58

    Article  Google Scholar 

  • Galvin R (2022) Net-zero-energy buildings or zero-carbon energy systems? How best to decarbonize Germany’s thermally inefficient 1950s–1970s-era apartments. J Build Eng:104671

    Google Scholar 

  • Gholami M, Sanjari MJ (2021) Multiobjective energy management in battery-integrated home energy systems. Renew Energy 177:967–975

    Article  Google Scholar 

  • Government of Japan (2019) The long-term strategy under the Paris agreement

    Google Scholar 

  • Hannan MA, Faisal M, Ker PJ, Mun LH, Parvin K, Mahlia TMI, Blaabjerg F (2018) A review of internet of energy based building energy management systems: issues and recommendations. IEEE Access 6:38997–39014

    Article  Google Scholar 

  • How Climate Change Impacts the Economy. https://news.climate.columbia.edu/2019/06/20/climate-change-economy-impacts/. Accessed 4 Dec 2021

  • Huang Y, Tian H, Wang L (2015) Demand response for home energy management system. Int J Electr Power Energy Syst 73:448–455

    Article  Google Scholar 

  • I. Energy Agency. Financing clean energy transitions in emerging and developing economies world energy investment 2021 special report in collaboration with the World Bank and the World Economic forum [Online]. www.iea.org/t&c/. Accessed 4 Dec 2021

  • Impacts of Climate Change on the Economy and Society – Iberdrola. https://www.iberdrola.com/environment/impacts-of-climate-change. Accessed 4 Dec 2021

  • Iskin I, Daim TU (2015) Energy efficiency technologies: Pacific NW US case. In: Policies and programs for sustainable energy innovations. Springer, Cham, pp 185–275

    Chapter  Google Scholar 

  • Jean-Baptiste P, Ducroux R (2003) Energy policy and climate change. Energy Policy 31(2):155–166

    Article  Google Scholar 

  • Kathan D, Daly C, Eversole E, Farinella M, Gadani J, Irwin R et al (2010) National action plan on demand response. In: The federal energy regulatory commission staff, federal energy regulatory commission, Washington, DC, tech. rep. AD09-10

    Google Scholar 

  • Kumar P, Ali I, Thanki DV (2018) Demand-side management: energy efficiency and demand response. In: Handbook of research on power and energy system optimization. IGI Global, pp 453–479

    Chapter  Google Scholar 

  • Kutcher G, Scandizzo PL (1983) The energy transition in developing countries. The World Bank, p 116

    Google Scholar 

  • Lee D, Cheng CC (2016) Energy savings by energy management systems: a review. Renew Sust Energ Rev 56:760–777

    Article  Google Scholar 

  • Lester P (2015) Future home tech: 8 energy-saving solutions on the horizon. United States Department of Energy, Washington, DC. https://www.energy.gov/articles/future-home-tech-8-energy-saving-solutions-horizon. Accessed 4 Dec 2021

    Google Scholar 

  • Li H, Wan Z, He H (2020) A deep reinforcement learning based approach for home energy management system. In: 2020 IEEE power & energy society innovative smart grid technologies conference (ISGT). IEEE, pp 1–5

    Google Scholar 

  • Lork C, Choudhary V, Hassan NU, Tushar W, Yuen C, Ng BKK et al (2019) An ontology-based framework for building energy management with IoT. Electronics 8(5):485

    Article  Google Scholar 

  • Loveday J, Morrison GM, Martin DA (2022) Identifying knowledge and process gaps from a systematic literature review of net-zero definitions. Sustainability 14(5):3057

    Article  Google Scholar 

  • MacKay A, Mercadal I (2022) Deregulation, market power, and prices: evidence from the electricity sector. Available at SSRN 3793305

    Google Scholar 

  • Mannino A, Dejaco MC, Re Cecconi F (2021) Building information modelling and internet of things integration for facility management – literature review and future needs. Appl Sci 11(7):3062

    Article  Google Scholar 

  • Marchant N (2021) This is how climate change could impact the global economy. In: World economic forum. https://www.weforum.org/agenda/2021/06/impact-climate-change-global-gdp/. Accessed 4 Dec 2021

    Google Scholar 

  • Masson-Delmotte V et al (2019) Global warming of 1.5°C [Online]. www.environmentalgraphiti.org. Accessed 4 Dec 2021

  • Mohammad N, Mishra Y, Ersan K, Yasin K (2019) Demand-side management and demand response for smart grid. In: Smart grids and their communication systems. Springer

    Google Scholar 

  • Moran F, Blight T, Natarajan S, Shea A (2014) The use of passive house planning package to reduce energy use and CO2 emissions in historic dwellings. Energ Buildings 75:216–227

    Article  Google Scholar 

  • Najafian A, Haghighat F, Moreau A (2015) Integration of PCM in domestic hot water tanks: optimization for shifting peak demand. Energ Buildings 106:59–64

    Article  Google Scholar 

  • Net Zero Strategy: Build Back Greener (2021) https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/1033990/netzero-strategy-beis.pdf

  • Parvin K, Lipu HMS, Hannan MA, Abdullah M, Ker PJ, Begum R, Mansor M, Muttaqi K, Mahlia T, Dong ZY (2021) Intelligent controllers and optimization algorithms for building energy management towards achieving sustainable development: challenges and prospects. IEEE Access 9:41577–41602

    Article  Google Scholar 

  • Pérez-Lombard L, Ortiz J, Pout C (2008) A review on buildings energy consumption information. Energ Buildings 40(3):394–398

    Article  Google Scholar 

  • Pinto G, Wang Z, Roy A, Hong T, Capozzoli A (2022) Transfer learning for smart buildings: a critical review of algorithms, applications, and future perspectives. Adv Appl Energy:100084

    Google Scholar 

  • Public Utility Commission: Demand Response: Utility Regulation: State of Oregon. https://www.oregon.gov/puc/utilities/Pages/Energy-Demand-Response.aspx. Accessed 15 June 2022

  • Sauchelli M, Masera G, D’Antona G, Manzolini G (2014) ISIS Facchinetti: a nearly zero energy retrofit in Italy. Energy Procedia 48:1326–1335

    Article  Google Scholar 

  • Schweiger G, Eckerstorfer LV, Hafner I, Fleischhacker A, Radl J, Glock B et al (2020) Active consumer participation in smart energy systems. Energ Buildings 227:110359

    Article  Google Scholar 

  • Soudari M, Srinivasan S, Balasubramanian S, Vain J, Kotta U (2016) Learning based personalized energy management systems for residential buildings. Energ Buildings 127:953–968

    Article  Google Scholar 

  • Sözer H, Aldin SS (2019) Predicting the indoor thermal data for heating season based on short-term measurements to calibrate the simulation set-points. Energ Buildings 202:109422

    Article  Google Scholar 

  • Sozer H, Tuysuz F (2020) Dynamic evaluation method to increase the effect of the automation system on the building energy performance. J Clean Prod 253:119811

    Article  Google Scholar 

  • Tadeu S, Rodrigues C, Tadeu A, Freire F, Simões N (2015) Energy retrofit of historic buildings: environmental assessment of cost-optimal solutions. J Build Eng 4:167–176

    Article  Google Scholar 

  • Tang H, Wang S, Li H (2021) Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: state-of-the-art and future perspective. Energy 219:119598

    Article  Google Scholar 

  • Wehner N, Daim T (2019) Behind-the-meter energy storage implementation. In: R&D management in the knowledge era. Springer, Cham, pp 71–94

    Chapter  Google Scholar 

  • Wells L, Rismanchi B, Aye L (2018) A review of net zero energy buildings with reflections on the Australian context. Energ Buildings 158:616–628

    Article  Google Scholar 

  • What is Demand Response? – Sympower. https://sympower.net/what-is-demand-response/. Accessed 15 June 2022

  • York D, Kushler M (2005) Exploring the relationship between demand response and energy efficiency: a review of experience and discussion of key issues. American Council for an Energy-Efficient Economy, Washington, DC

    Google Scholar 

  • Yu CJ, Daim TU (2021) Technology roadmapping maturity assessment: a case study in energy sector. In: Roadmapping future. Springer, Cham, pp 3–106

    Chapter  Google Scholar 

  • Zhai S, Wang Z, Yan X, He G (2018) Appliance flexibility analysis considering user behavior in home energy management system using smart plugs. IEEE Trans Ind Electron 66(2):1391–1401

    Article  Google Scholar 

  • Zhao Q, In H, Wu X, Huang G (2000) Transforming legacy energy management system (EMS) modules into reusable components: a case study. In: Proceedings 24th annual international computer software and applications conference. COMPSAC2000. IEEE, pp 105–110

    Chapter  Google Scholar 

  • Zhao X, Gao W, Qian F, Ge J (2021) Electricity cost comparison of dynamic pricing model based on load forecasting in home energy management system. Energy 229:120538

    Article  Google Scholar 

  • Zhou G, Bai M, Zhao X, Li J, Li Q, Liu J, Yu D (2022) Study on the distribution characteristics and uncertainty of multiple energy load patterns for building group to enhance demand side management. Energ Buildings 263:112038

    Article  Google Scholar 

  • Živković V, Džikić V (2015) Return to basics – environmental management for museum collections and historic houses. Energ Buildings 95:116–123

    Article  Google Scholar 

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Acknowledgments

The authors thank Ebru ACUNER TÜRET for her valuable support.

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Correspondence to Tugrul U. Daim .

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Sözer, H., Kılınç, A., Sönmez, L., Özkan, F.Ö., Daim, T.U. (2023). Designing a Technology Roadmap Through Demand Response Management in Energy. In: Daim, T.U., Phaal, R., Meissner, D., Kerr, C. (eds) Next Generation Roadmapping. Science, Technology and Innovation Studies. Springer, Cham. https://doi.org/10.1007/978-3-031-38575-9_12

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