scholarly journals Analysis of building energy upgrade technologies for implementing the dual energy efficiency and demand response scheme for non-residential buildings

2019 ◽  
Vol 282 ◽  
pp. 02016
Author(s):  
Olga Macías ◽  
Sarah Noyé ◽  
Nagore Tellado ◽  
Ignacio Torrens ◽  
Pablo De Agustín ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Business Model ◽  
Demand Response ◽  
Residential Buildings ◽  
Supply And Demand ◽  
Continuous Growth ◽  
Business Opportunity ◽  
New Business ◽  
Storage Technologies ◽  
Demand Response Programs

The continuous growth of renewable energy and the transition to a more de-centralised electricity generation adds significant complexity to balance power supply and demand in the grid. These imbalances are partially compensated by demand response programs, which represent a new business opportunity in the building sector, especially for ESCOs. Including demand response to their traditional energy efficiency-based business model adds an additional revenue stream that could potentially shorten payback periods of energy renovation projects. This paper introduces this new dual-services business model, and evaluates the potential suitability of HVAC, generation and storage technologies to ensure proposed energy efficiency and flexibility goals.

Demand Response for Large Public Building System

2012 ◽  
Vol 518-523 ◽  
pp. 4387-4393
Author(s):  
Zhen Dong He ◽  
Jing Wan Liu ◽  
Chang Kai Shi
Keyword(s):  
Energy Management ◽  
Demand Response ◽  
Supply And Demand ◽  
Electricity Demand ◽  
Time Span ◽  
Short Term ◽  
Public Buildings ◽  
Public Building ◽  
Management Platform ◽  
Demand Response Programs

Electricity demand response is the lever of economy and contradictions between the supply and demand, is effective short-term instruments that speedy resolve contradictions between the supply and demand [1]. Put forward the elements and implementation principle of demand response programs, divide the type of demand response programs, investigate the time span relationship between demand response market and demand response programs, analyze demand response programs in the practice of domestic and foreign, discuss the application strategy of demand response in large public buildings systems and energy management platform, and for the construction of China's demand response programs raise suggestions and ideas.

scholarly journals A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances

2020 ◽  
Vol 12 (22) ◽  
pp. 9686
Author(s):  
Bilal Naji Alhasnawi ◽  
Basil H. Jasim ◽  
Maria Dolores Esteban ◽  
Josep M. Guerrero
Keyword(s):  
Energy Management ◽  
Power Factor ◽  
Demand Response ◽  
Energy Demand ◽  
Smart Cities ◽  
Residential Buildings ◽  
Electrical Energy ◽  
Base Station ◽  
Smart Devices ◽  
Demand Response Programs

There will be a dearth of electrical energy in the world in the future due to exponential increase in electrical energy demand of rapidly growing world population. With the development of Internet of Things (IoT), more smart appliances will be integrated into homes in smart cities that actively participate in the electricity market by demand response programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, the energy management strategy using a price-based demand response program is developed for IoT-enabled residential buildings. We propose a new EMS for smart homes for IoT-enabled residential building smart devices by scheduling to minimize cost of electricity, alleviate peak-to-average ratio, correct power factor, automatic protective appliances, and maximize user comfort. In this method, every home appliance is interfaced with an IoT entity (a data acquisition module) with a specific IP address, which results in a wide wireless system of devices. There are two components of the proposed system: software and hardware. The hardware is composed of a base station unit (BSU) and many terminal units (TUs). The software comprises Wi-Fi network programming as well as system protocol. In this study, a message queue telemetry transportation (MQTT) broker was installed on the boards of BSU and TU. In this paper, we present a low-cost platform for the monitoring and helping decision making about different areas in a neighboring community for efficient management and maintenance, using information and communication technologies. The findings of the experiments demonstrated the feasibility and viability of the proposed method for energy management in various modes. The proposed method increases effective energy utilization, which in turn increases the sustainability of IoT-enabled homes in smart cities. The proposed strategy automatically responds to power factor correction, to protective home appliances, and to price-based demand response programs to combat the major problem of the demand response programs, which is the limitation of consumer’s knowledge to respond upon receiving demand response signals. The schedule controller proposed in this paper achieved an energy saving of 6.347 kWh real power per day, this paper achieved saving 7.282 kWh apparent power per day, and the proposed algorithm in our paper saved $2.3228388 per day.

Business Models for Green Retrofitting

2019 ◽  
pp. 1-27
Author(s):  
Adrian Tantau ◽  
Maria Alexandra Maassen
Keyword(s):  
Energy Efficiency ◽  
Business Model ◽  
Business Models ◽  
Technological Development ◽  
Holistic Approach ◽  
Energy Performance ◽  
Business Model Canvas ◽  
New Business ◽  
Building Environment ◽  
New Business Models

This chapter is dedicated to business models for green retrofitting on a more holistic approach that enables to think and integrate the economic, social and environmental perspective in a business model. The chapter is a result of research regarding new business models for green retrofitting and presents a framework for developing business models for green retrofitting in the building sector based on the Triple-Layer Business Model Canvas. The business models for green retrofitting could be an important instrument for introducing new green characteristics such as energy efficiency, optimal energy performance, and new comfort standards in the building environment. Green retrofitting is responding to the dynamics of the economic and technological development, and to the new lifestyle of the peoples. The implementation of such a model will be also a catalyst for reducing the emissions of greenhouse gases in the building environment.

Demand Response and FERC Mandated Compensation Issues

2012 ◽  
Author(s):  
Donald Lincoln
Keyword(s):  
Energy Efficiency ◽  
Demand Response ◽  
Market Competition ◽  
Peak Load ◽  
Market Price ◽  
Energy Markets ◽  
Local Market ◽  
Wholesale Market ◽  
Market Prices ◽  
Demand Response Programs

This paper describes a Demand Response (DR) pilot event performed at Sandia National Laboratories in August of 2011. This paper includes a description of the planning for the demand response event, sources of energy reduction during the event, the potential financial benefit to Sandia National Laboratories from the event, event implementation issues, and the event results. In addition, this paper presents the implications of the Federal Energy Regulatory Commission (FERC) Order 745, Demand Response Compensation in Organized Wholesale Energy Markets, issued in March 2011. In this order FERC mandates that demand response suppliers must be compensated by the organized wholesale energy markets at the local market price for electricity during the hour the demand response is performed. Energy management in a commercial facility can be segregated into energy efficiency and demand response. Energy efficiency focuses on steady state load minimization. Demand response reduces load for event-driven periods during the peak load. Commercial facility demand response refers to voluntary actions by customers that change their consumption of electric power in response to price signals, incentives, or directions from grid operators at times of high wholesale market prices or when electric system reliability is jeopardized. Demand-response-driven changes in electricity use are designed to be short-term and centered on critical hours during the day when demand is high or when the electricity supplier’s reserve margins are low. Demand response events are typically scheduled between 12:00 p.m. and 7:00 p.m. on eight to 15 days during the hottest period of the year. Analysis has determined that automated demand response programs are more efficient and effective than manually controlled demand response programs due to persistence. FERC has stated that their Order 745 ensures organized wholesale energy market competition and removes barriers to the participation of demand response resources. In Order 745, FERC also directed that the demand response compensation costs be allocated among those customers who benefit from the lower prices for energy resulting from the demand response. FERC has allowed the organized wholesale energy markets to establish details for implementation methods for demand response compensation over the next four years following the final Order issue date. This compensation to suppliers of demand response can be significant since demand response is typically performed during those hours when the wholesale market prices are at their highest levels during the year.

scholarly journals On the assessment and control optimisation of demand response programs in residential buildings

2020 ◽  
Vol 127 ◽  
pp. 109861 ◽  
Author(s):  
Fabiano Pallonetto ◽  
Mattia De Rosa ◽  
Francesco D’Ettorre ◽  
Donal P. Finn
Keyword(s):  
Demand Response ◽  
Residential Buildings ◽  
Control Optimisation ◽  
Demand Response Programs ◽  
And Control

scholarly journals Mapping of New Business Models in Domains of Technologies and Energy for Modelling of Dynamics of Clean Energy Transition

2021 ◽  
Vol 25 (1) ◽  
pp. 1152-1164
Author(s):  
Madara Rieksta ◽  
Gatis Bazbauers ◽  
Andra Blumberga ◽  
Dagnija Blumberga
Keyword(s):  
Business Model ◽  
Business Models ◽  
Supply And Demand ◽  
Ghg Emissions ◽  
Dynamic Modelling ◽  
Energy Transition ◽  
Clean Energy ◽  
Scientific Publications ◽  
New Business ◽  
New Business Models

Abstract The aim of presented study was to identify the most promising new business models which could help to reach climate and energy targets. ‘Business model’ means new opportunities (e.g. business for profit or non-profit community collaboration models) enabled by various technologies in energy domains, i.e., heat and power supply and demand as well as mobility. Based on scientific publications, nine most important technologies and 37 new business models, which could be among the most important for sustainable energy transition, were identified. Mapping of the new business models was done by looking at synergies between the technologies and the energy domains. Valuation of the business models is done by finding ‘expected impact’ with regards to reduction of greenhouse gas (GHG) emissions, which is obtained by multiplication of two factors: ‘potential’ and ‘feasibility’. The ’potential’ represents ability to reduce GHG emissions considering technical characteristics of technologies involved and scalability. The ‘feasibility’ indicates how realistic is implementation of the new business model in the near to mid-term. Experts in the field of energy and environmental engineering were interviewed to obtain scores for the ‘potential’ and the ‘feasibility’ for all business models. The results show that electric mobility is among the solutions with the largest expected impact for reduction of GHG emissions. Results of this valuation will be used to choose the most promising solutions for further analysis with system dynamic modelling.

Fiscal deduction in Italy for energy efficiency in residential buildings: Some insights

2017 ◽  
pp. 15-29
Author(s):  
Domenico Prisinzano ◽  
Alessandro Federici ◽  
Amalia Martelli ◽  
Chiara Martini ◽  
Roberto Moneta
Keyword(s):  
Energy Efficiency ◽  
Residential Buildings
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