scholarly journals Planning of a Smart Local Energy Community: The Case of Berchidda Municipality (Italy)

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4629 ◽  
Author(s):  
Emilio Ghiani ◽  
Andrea Giordano ◽  
Andrea Nieddu ◽  
Luca Rosetti ◽  
Fabrizio Pilo
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Smart Grids ◽  
Clean Energy ◽  
Automation System ◽  
Local Energy ◽  
Active Involvement ◽  
Home Automation System ◽  
Energy Community ◽  
Strategic Policies

Recent strategic policies and regulations dealing with market liberalization and decarbonization plans, such as the European directives contained in the recent EU Clean Energy for All Europeans Package, are seeking to promote new roles for citizens in the management of the self-produced renewable energy and the development of local energy markets. In this context, this paper aims at presenting the planning actions for the transition of the current passive distribution system of the Municipality of Berchidda (Italy) towards a smart local energy community. This planning study represents the first stage of a development action financed by the Sardinian Region, whose Regional Energetic and Environmental Plan identifies the Municipality of Berchidda as a priority area to focus the experimental actions for innovative smart grids and intelligent energy management. The project, named “Berchidda Energy 4.0”, focuses on increasing the energy efficiency of the community by boosting local renewable generation production and maximizing its self-consumption, also with the support of storage systems, as well as increasing the active involvement of the consumers that will be equipped with a smart home automation system for demand response applications.

scholarly journals Planning of Energy Production and Management of Energy Resources in Local Energy Communities: The Case of Berchidda Municipality (Italy)

Proceedings ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 16
Author(s):  
Giordano ◽  
Ghiani ◽  
Pilo ◽  
Rosetti
Keyword(s):  
Demand Response ◽  
Smart Home ◽  
Energy Production ◽  
Energy Resources ◽  
Automation System ◽  
Home Automation ◽  
Local Energy ◽  
Active Involvement ◽  
Home Automation System ◽  
Energy Community

This paper aims to present the ideas and the strategies behind the project called “Berchidda Energy 4.0” which proposes the development of a smart Local Energy Community in the Municipality of Berchidda (Italy). The project is focused on increasing energy efficiency by fostering renewable generation production and maximizing the self-consumption of the energy produced, as well as increasing the active involvement of the consumers that will be equipped with smart home automation system for demand response applications.

scholarly journals The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6218
Author(s):  
Dana Abi Ghanem ◽  
Tracey Crosbie
Keyword(s):  
Collective Action ◽  
Energy Saving ◽  
Sense Of Community ◽  
Demand Response ◽  
Smart Grids ◽  
Clean Energy ◽  
People’S Perception ◽  
Island Communities ◽  
Energy And Development

Islands are widely recognised as ideal pilot sites that can spearhead the transition to clean energy and development towards a sustainable and healthy society. One of the assumptions underpinning this notion is that island communities are more ready to engage with smart grids (SGs) than people on the mainland. This is believed to be due to the high costs of energy on islands and the idea that the sense of community and collective action is stronger on islands than on the mainland. This paper presents findings from a survey conducted to assess people’s perception of, and readiness to engage with, SG and demand response (DR) in the communities of three islands taking part in a H2020 project called REACT. The main objective of the survey, conducted in 2020, was to inform the recruitment of participants in the project, which is piloting different technologies required for SGs and DR with communities on the three islands. The results show that many island residents are motivated to take part in SG, to engage with energy saving, and are willing to change some energy-related behaviours in their homes. However, the results also indicate that levels of ownership of, and knowledge and familiarity with, the SG and DR related technologies are extremely low, suggesting that the expected uptake of DR in islands might not be as high as anticipated. This brings into question the readiness of island dwellers for the SG, their role in the deployment of such schemes more widely and the validity of the assumptions often made about island communities. This has significant implications for the design of SGs and DR solutions for islands, including devoting sufficient efforts to build knowledge and awareness of the SG, investing in demonstration projects for that purpose and tailoring interventions based on island communities’ motivations.

scholarly journals The Clean Energy Package and Demand Response: Setting Correct Incentives

Energies ◽  
2020 ◽  
Vol 13 (21) ◽  
pp. 5672
Author(s):  
Bert Willems ◽  
Juulia Zhou
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Business Models ◽  
Clean Energy ◽  
Market Forces ◽  
Horizontal Merger ◽  
Market Participants ◽  
The Eu ◽  
Energy Package ◽  
Regulatory Challenges

We describe how recent EU regulation affects demand response (DR) and highlight some of the remaining regulatory challenges from a legal and economic viewpoint. With the Clean Energy Package (CEP), the EU has opted for a fully market-based, consumer-centered approach for DR. The development of business models and products is left to a large extent to market forces. However, to enable the efficient development of those DR markets, network regulation has to adapt. (1) Network tariffs have to become more cost-reflective to provide correct incentives to market participants. The capacity tariffs have to increase, net-metering should be abolished, and optional tariff components for providing flexibility may need to be considered. (2) The regulation for distribution system operators (DSOs) may need to be fine-tuned to reflect their new roles. We present three scenarios: (a) a horizontal merger of unbundled DSOs under incentive regulation, (b) a DSO as a subsidiary of an integrated utility under cost plus regulation, (c) a transfer of some activities from DSO to TSO.

scholarly journals A Novel Algorithm with Multiple Consumer Demand Response Priorities in Residential Unbalanced LV Electricity Distribution Networks

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1220
Author(s):  
Ovidiu Ivanov ◽  
Samiran Chattopadhyay ◽  
Soumya Banerjee ◽  
Bogdan-Constantin Neagu ◽  
Gheorghe Grigoras ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Distribution Networks ◽  
Load Flow ◽  
Electricity Distribution ◽  
Energy Management Systems ◽  
Home Energy Management ◽  
Novel Algorithm

Demand Side Management (DSM) is becoming necessary in residential electricity distribution networks where local electricity trading is implemented. Amongst the DSM tools, Demand Response (DR) is used to engage the consumers in the market by voluntary disconnection of high consumption receptors at peak demand hours. As a part of the transition to Smart Grids, there is a high interest in DR applications for residential consumers connected in intelligent grids which allow remote controlling of receptors by electricity distribution system operators and Home Energy Management Systems (HEMS) at consumer homes. This paper proposes a novel algorithm for multi-objective DR optimization in low voltage distribution networks with unbalanced loads, that takes into account individual consumer comfort settings and several technical objectives for the network operator. Phase load balancing, two approaches for minimum comfort disturbance of consumers and two alternatives for network loss reduction are proposed as objectives for DR. An original and faster method of replacing load flow calculations in the evaluation of the feasible solutions is proposed. A case study demonstrates the capabilities of the algorithm.

scholarly journals Flexibility Services Based on OpenADR Protocol for DSO Level

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6266
Author(s):  
Juan Ignacio Guerrero Alonso ◽  
Enrique Personal ◽  
Sebastián García ◽  
Antonio Parejo ◽  
Mansueto Rossi ◽  
...  
Keyword(s):  
Demand Response ◽  
Distribution System ◽  
Smart Grids ◽  
Service Providers ◽  
Hierarchical Architecture ◽  
Market Place ◽  
Communication Method ◽  
Grid Operation ◽  
Different Levels ◽  
Specific Country

Nowadays, Distribution System Operators are increasing the digitalization of their smart grids, making it possible to measure and manage their state at any time. However, with the massive eruption of change-distributed generation (e.g., renewable resources, electric vehicles), the grid operation have become more complex, requiring specific technologies to balance it. In this sense, the demand-side management is one of its techniques; the demand response is a promising approach for providing Flexibility Services (FSs) and complying with the regulatory directives of the energy market. As a solution, this paper proposes the use of the OpenADR (Open Automated Demand Response) standard protocol in combination with a Decentralized Permissioned Market Place (DPMP) based on Blockchain. On one hand, OpenADR hierarchical architecture based on distributed nodes provides communication between stakeholders, adding monitoring and management services. Further, this architecture is compatible with an aggregator schema that guarantees the compliance with the strictest regulatory framework (i.e., European market). On the other hand, DPMP is included at different levels of this architecture, providing a global solution to Flexibility Service Providers (FSP) that can be adapted depending on the regulation of a specific country. As a proof of concept, this paper shows the result of a real experimental case, which implements a Capacity Bidding Program where the OpenADR protocol is used as a communication method to control and monitor energy consumption. In parallel, the proposed DPMP based on Blockchain makes it possible to manage the incentives of FSs, enabling the integration of local and global markets.

The Building of Home Automation Electricity Distribution System Based on PLC

2012 ◽  
Vol 442 ◽  
pp. 407-411
Author(s):  
Ai Rong Zhang ◽  
Jin Lan Zhang
Keyword(s):  
Distribution System ◽  
Current System ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Internet Control ◽  
Home Automation System ◽  
High Level ◽  
New Generation ◽  
Household System

Home automation is a common area of interest the researchers and engineers work, of course, the consumer. Today, intelligent household system is commonly found in many homes in many countries around the world. This system not only provides a high level of control household appliances, also should try to reduce the waste electricity. Electric power communication (PLC) is a kind of common technology used in home automation system, household electric wire reuse for communication. But the current system puts forward the shortcomings of the need to improve. We introduced the design a new generation of intelligent household system that will give consumers with a huge characteristics and businessman. The main characteristics of the system are based on the Internet control, logging-facilities.

Home Automation Using Bluetooth

2020 ◽  
pp. 675-678
Author(s):  
Mukesh Mahajan ◽  
Astha Dubey ◽  
Samruddhi Desai ◽  
Kaveri Netawate
Keyword(s):  
Temperature Sensor ◽  
Humidity Sensor ◽  
The Other ◽  
Automation System ◽  
Home Automation ◽  
Wireless Devices ◽  
Home Appliances ◽  
Home Automation System ◽  
Condition Systems

This paper reviews basically about Bluetooth based home automation system. It is controlled by PIC microcontroller. Home automation can be defined as the ability to perform tasks automatically and monitor or change status remotely. These include tasks such as turning off lights in the room, locking doors via smartphone, automate air condition systems and appliances which help in the kitchen. Now a days several wireless devices are available such as Bluetooth, Zigbee and GSM. Since Bluetooth is low in cost than the other two and hence is used more. In this paper we have described the methods of automating different home appliances using Bluetooth and pic microcontroller. Different sensors are involved in this system to advance and make it smarter. Sensors such as temperature sensor, liquid sensors, humidity sensor etc. can be used.

Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

2020 ◽  
Vol 8 (1) ◽  
pp. 57-73
Author(s):  
Lery Sakti Ramba
Keyword(s):  
Deep Learning ◽  
Speech Recognition ◽  
Background Noise ◽  
Electronic Devices ◽  
Recognition System ◽  
Background Intensity ◽  
Automation System ◽  
Home Automation ◽  
Speech Recognition System ◽  
Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

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