Integrated Demand Management for Energy Resources  at Industrial Enterprises and in the Region

Дзюба, А. П.

doi:10.14529/em190304

Cited by 1 publication

(4 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(1) There is no methodological approach to the complex management of costs for electricity and natural gas in DER systems implemented by industrial and commercial facilities in Russia; (2) The uneven nature of the natural gas demand curves is not properly accounted for in the operation of DER systems; (3) Changes in the complex demand for natural gas and electricity are not properly accounted for in scheduling DER systems; (4) The pricing in the wholesale and retail electricity markets is not properly accounted for in the operation of DER systems; (5) No methods developed for analyzing the price parameters of the electricity purchased by industrial and commercial entities that have direct connection to the networks of electricity producers; and (6) No algorithm for the integrated management of behind-the-meter DER systems in the context of the existing power (capacity) and natural gas markets.…”

Section: Literature Review Of the Topic Of Natural Gas-fired Distribu...mentioning

confidence: 99%

“…𝑆𝑆 𝐺𝐺𝐺𝐺𝐺𝐺 𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏 𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 = �𝑉𝑉 𝐺𝐺𝐺𝐺𝐺𝐺_𝑚𝑚 ∌ 𝑉𝑉 𝐺𝐺𝐺𝐺𝐺𝐺_𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 � × 𝑃𝑃 𝐺𝐺𝐺𝐺𝐺𝐺 𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏 𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 (5) where: 𝑃𝑃 𝐺𝐺𝐺𝐺𝐺𝐺 𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏 𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 is the price of gas paid beyond the negotiated threshold in month m (in USD per '000 cubic meters) Formula ( 6) 𝑃𝑃 𝐺𝐺𝐺𝐺𝐺𝐺 𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏𝑏 𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 = [period from 15/04 to 15/09 ], ℎ𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒 𝑃𝑃 𝐺𝐺𝐺𝐺𝐺𝐺_𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 × 1.1 [period from 16/09 to 14/04 ], ℎ𝑒𝑒𝑒𝑒𝑒𝑒𝑒𝑒 𝑃𝑃 𝐺𝐺𝐺𝐺𝐺𝐺_𝑡𝑡ℎ𝑟𝑟𝑟𝑟ℎ_𝑚𝑚 × 1.5…”

Section: S Gas Beyond Thrsh_m = [V Gas_mmentioning

confidence: 99%

“…V GAS_thrsh_m ] × P GAS beyond thrsh_m (5) where: P GAS beyond thrsh_m is the price of gas paid beyond the negotiated threshold in month m (in USD per '000 cubic meters) Formula (6).…”

Section: S Gas Beyond Thrsh_m = [V Gas_mmentioning

confidence: 99%

“…The comparative level of energy efficiency of different economies is traditionally measured as the energy intensity of GDP [4,5], which reflects energy consumption by a country for the production of one dollar in GDP (PPP). Figure 1 shows a map of the energy intensity of GDP (PPP) in different countries of the world in 2020.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Raising the Resilience of Industrial Manufacturers through Implementing Natural Gas-Fired Distributed Energy Resource Systems with Demand Response

2023

View full text Add to dashboard Cite

The use of relatively small-scale distributed electric power generation sources is one of the key focus areas in the development of global industry and regional power generation. By integrating distributed generation sources into their on-site energy infrastructure, industrial consumers gain new characteristics and possibilities as entities of the power system that do not only consume power, but in fact can flexibly generate and deliver electricity to local and even centralized grids. This type of entity is called a distributed energy resource system with demand response (Russian: ‘active energy complex’). The purpose of this study is to lay the methodological foundation for the use of distributed energy resource systems with demand response in industrial sites under existing gas and power market conditions and for ensuring the synchronization of parameters that is necessary for managing complex energy consumption. This article provides an empirical study of the principles of the natural gas pricing under the demand volatility of regional markets and the Russian Mercantile Exchange. The article outlines the key drivers, as identified by the authors, that impact gas consumption by a distributed energy resource system, including demand characteristics, limitations and capacity of the gas network and the mode of gas consumption by an industrial enterprise and its generator. Accounting for all of these factors is essential for effective management and proper operational adjustment of a distributed energy resource system with demand response. The result of the study is a proprietary model and a tool for the management of distributed energy resource systems in integration with the gas demand management, which analyze the internal and external parameters of the industrial entity’s operations and its distributed energy resource system, as well as factors existing in the integrated distributed energy system where the consumer is able to buy natural gas in various market segments. The proprietary tool of distributed energy resource system management is based on the centralized control system, which combines performance analytics, operational scheduling of production and the distributed energy resource system, price planning for the wholesale and retail power markets, regional gas markets and exchange, monitoring all elements of the system, and assessment of different active energy management scenarios under various external and internal conditions impacting production and energy demand. Our proprietary tool has been successfully tested in a typical industrial site and was reported to deliver a significant electricity and gas cost-saving effect, which amounted to an 18 percent reduction in the total energy costs of the company, or more than USD 2.6 million per year. The resulting saving effect can recoup the costs of investing in a distributed energy resource system, including construction and installation of the local grid and automation infrastructure, and can be obtained in any country of the world.

show abstract

Section: Literature Review Of the Topic Of Natural Gas-fired Distribu...mentioning

confidence: 99%

Section: S Gas Beyond Thrsh_m = [V Gas_mmentioning

confidence: 99%

“…V GAS_thrsh_m ] × P GAS beyond thrsh_m (5) where: P GAS beyond thrsh_m is the price of gas paid beyond the negotiated threshold in month m (in USD per '000 cubic meters) Formula (6).…”

Section: S Gas Beyond Thrsh_m = [V Gas_mmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations