What are the latest trends in demand response technology for small businesses?

I coordinated the project where we implemented smart thermostat solutions in my company and succeed to reduce heat consumption by more than 30 %, plus humidity level is now in normal values, contributing to the overall comfort level in the offices.

Getting to put in some level of automation for stoppage of wastage of energy when not needed by setting time of day and scheduling off days, reducing the gap between demand and supply of cooling/ heating are made possible by smart thermostats. Hence, these could become easy first steps for small businesses to adopt. Simultaneously, monitoring of the energy consumption trends as they make these small tweaks could bring in a sense of energy awareness that could set them on a path that could take them quite far.

Los termostatos inteligentes se prueban como una herramienta muy efectiva para control de costes, tanto para ajuste dinámico de la consigna de temperatura como para acomodar a los usos de las estancias. Es un ejemplo de domótica impulsado gracias a la conectividad wifi que simplifica enormemente los despliegues

From my experience, scaling a rollout of smart thermostats in the SME sector can only work when they employ heat storage (e.g. hot water buffer). My company is working on demand response intelligence for smart heating, and to model the heat buffering capacity of a business is quite custom to its location, activity and so on, adding to cost and time-to-market. The best way to direct impact is planning the heat storage level, making sure it can always accomodate comfort or support of processes. We can easily arrange for minimum and maximum fill level and son on. And we can then optimize this fill-level-control to factors like the market. Fill-level-control is also a standard device type in emerging energy flexibility protocols like S2.

The latest trends in demand response technology for small businesses include the integration of smart devices and IoT sensors to optimize energy usage. Advanced analytics and machine learning algorithms enable real-time monitoring and predictive analysis, allowing businesses to adjust energy consumption during peak periods efficiently. Cloud-based platforms enhance accessibility and data management, while automated demand response platforms streamline participation in demand response programs. Additionally, the rise of distributed energy resources and the incorporation of renewable energy sources contribute to a more resilient and sustainable energy management ecosystem for small businesses.

Battery storage provides dispatching and control capabilities, one of the main contributing factors to modernize the grid, this not only enables more renewable penetration but will provide economic benefits to small business to take advantage of price peaks.

Wir sehen einen deutlichen Preis Degression bei Energiespeichern und die Zunahme an energiedichte durch Liquid cooling. Energiemarkt hat das Potenzial auch in Zukunft gro?artige Profite zu generieren. Gerade die Kombination mit KI Anwendung kann hier für Ertr?ge und Stabilit?t im Netz sorgen. Wichtiger Punkt für die Realisierung ist die Bankability und Finanzierungsformen für Speicher.

Battery storage or BESS is a clear trend if: 1) You want to avoid energy penalties during peak times. 2) You live in a country where energy is fluctuant, so energy service continuity is not the best. BESS use to be linked with EV and with solar power. In this last case BESS could benefit you also because could be used during night time or cloudy/rainy periods.

Batteriespeicher sind ganz klar ein Trend, wenngleich auch z.Zt. noch relativ Teuer. Pers?nlich gehe ich bei dieser Technologie von einem weiteren Preisverfall aus. Auf der anderen Seite werden die Energiekosten weiter steigen. Beides spricht dafür noch etwas mit solch einer Investition zu warten.

Renewable sources especially wind and solar need efficient storage system, which is not presently available because of various factors.

A IoT tem um grande diferencial em rela??o às demais tecnologias de controle de demanda. Ela dispensa a implanta??o de tecnologia adicional de comunica??o e smartgrids, requerendo apenas um simples sinal de internet. Isso habilita n?o só as pequenas empresas mas até os consumidores residenciais a se beneficiarem de programas de Resposta à Demanda. Em um futuro próximo as próprias BIG techs como Amazon e Google fornecer?o servi?os de análise de controle de demanda com objetivo de reduzir a conta ou emiss?es de carbono.

La adopción del IoT brinda una flexibilidad sin precedente en iluminación que permite un nivel de escalabilidad abriendo posibilidades de beneficios como las reducciones de uso de energía en casi 80% , en industria y oficinas permite mejorar la operación con mapas de calor y localización de personas, en el sector retail permite la navegación de clientes dentro de su tienda maximizando el ticket de compra , en hospitalidad mejorar la experiencia del huésped personalizando la luz para mejorar su descanso , en salud permite controlar la luz para incidir en el ciclo circadiano y promover la recuperación en menores tiempos. Existen enormes ventajas de iniciar y escalar el IoT apoyando a desbloquear el potencial de los recursos tradicionales.

Smart thermostats could be nested under the Internet of Things (IoT) category, since they meet the description listed above...

Industrial IoT (IIoT): In industrial settings, the Industrial Internet of Things (IIoT) is used to improve efficiency, monitor equipment health, and enable predictive maintenance. Sensors on machinery can provide real-time data to optimize production processes. Security and Privacy: Security is a significant concern in the IoT, as the interconnected nature of devices introduces potential vulnerabilities. Ensuring the security of data, communications, and devices is critical. Privacy considerations are also important, especially when dealing with personal or sensitive information.

Internet of Things (IoT): IoT devices and sensors play a crucial role in collecting and analyzing data to identify patterns, helping businesses make informed decisions in response to energy demand changes.

This is indeed a great concept to populate as there is a huge difference in pricing of Energy in diff countries and counties. If we can develop and operate A MiniGrid concept where ever more than 50 to 100 households This could change the way peaple pay excess energy charges. Many Counties in Place like India send Energy bills on By Monthly basis where Automatically your Consumption shall be higher than minimum. This concept of Blockchain in MiniGrid created from hybrid Wind Solar can help to save anything between 35-50% to every household Which could result in overall savings of USD 2000-2500 per year in a country having per capita income Just over USD 4000 .if anyone keen to understand this concept I can be reached at [email protected]

Energie als W?hrung: Die neue Perspektive auf unseren Wert In unserer modernen Welt, in der alles miteinander verbunden ist, gewinnt Energie eine tiefere Bedeutung als blo? eine physikalische Gr??e. Betrachten wir sie als W?hrung - eine W?hrung, die weit über finanzielle Aspekte hinausgeht. Ein solches Konzept k?nnte eine interessante Diskussion darüber er?ffnen, wie wir unsere Energie verwalten und wie sie unseren Wert und unsere Interaktionen formt. Elemente wie Technologie, klare Regulierungen, Vertrauen und eine aktive Gemeinschaft - k?nnte den Grundstein für ein Peer-to-Peer-Energieaustauschsystem legen, das Energie als eine Art W?hrung nutzt

Pers?nlich empfinde ich Blockchain und Smart Contracts als ein hoch interessantes Themenfeld. Aktuell mangelt es jedoch an marktreifen L?sungen, die vor allem interoperabel zwischen den Systemen von Kunden und Anbietern funktionieren.

End-to-End Encryption: Implementing encryption throughout the data transmission process helps protect information from being intercepted or tampered with. Regular Software Updates: Keeping IoT devices and systems up to date with the latest security patches is essential for addressing vulnerabilities. Privacy by Design: Integrating privacy considerations into the design and development process of IoT systems helps ensure that privacy is a fundamental aspect rather than an afterthought.

The AI/ML computational load itself is the most flexible demand, and when combined with cloud computing, demand can be shifted across time and space. For example, learning can take place anytime in advance. We believe that CPUs/GPUs for automated mobile robots, which will be realized in a few years, will be a powerful resource for distributed computing, combining workload shifting to these computing resources with battery-powered demand response.

Types of Machine Learning: Supervised Learning: Algorithms are trained on labeled data, and the goal is to predict or classify new, unseen data. Unsupervised Learning: Algorithms analyze data without predefined labels, finding patterns or relationships within the data. Reinforcement Learning: Agents learn to make decisions by interacting with an environment, receiving feedback in the form of rewards or penalties. Applications: ML is applied in diverse areas, such as image and speech recognition, natural language processing, recommendation systems, fraud detection, autonomous vehicles, and healthcare diagnostics.

KI ist definitiv auch im Bereich Energiemanagement und Demand-Response ein Megatrend. KI ist in diesem Bereich die Antwort auf Fachkr?ftemangel und den stetig steigende Anforderungen an Klimaneutralit?t.

La IA es tendencia, sin duda una herramienta eficiente para mejorar distintos campos, permite manejar información de manera rápida y eficaz.

Undoubtedly, if we have the previous data available, we can optimize consumption and modify structural patterns with machine learning. Maybe sometimes, by examining the data, we can design new patterns that basically consume energy at a lower level.

By code and ASHRAE 62.1 you have to provide 20 cfm of air per person. If you can recover 90% plus of this energy you can save more money and energy than you can with most ESMs. Evaluating the energy saved versus the cost to run the ESM is effective method to create an effective ERP.

Context is key. Technologies don’t exist in a vacuum - not on this side of the earth’s atmosphere at least. There are no magic bullets in demand response. The key is to get expert advice on assessing the specific energy needs and use profile in question, and to consider any other requirements which may be positively or adversely affected by a given approach or technology. Then it’s a question of picking the right combination of measures to give the best results. For instance, insulation is generally one of the best options for reducing energy costs, by cutting the need to buy/generate energy for heating/cooling. But what’s the return on insulating a building where the doors are open all the time, like a mechanic/auto repair shop?

Small businesses currently faced a myriad of issues. Demand Response is something very useful for them but they must be assisted to get to the point that they will benefit from advanced technologies e.g. ML, AI, etc. The most immediate issue for small businesses is how to bounce back from the after effects of the pandemic and capacity-building coupled with accessible financing will be a good start. MSMEs are already manpower challenged, and the pandemic further reduced their capability since they were forced to lay off workers. Rebuilding their business operations in an energy efficient manner coupled with simple process of securing financial assistance will prepare them to consider "advanced technologies" and fully benefit from it.

D/R applied..outside the company when people talk about D/R, its always about energy used from internally. Well its also time to consider the usage of energy outside of the company, especially used by IT tools for accessing applications and data in the Cloud, Datacenters, etc.. There is a case to be able to anticipate the demand for external energy required to carry network data and processing information remotely. And use this for offering specific rating of services..cheaper in quiet periods, more expensive in busy periods, or attached to the source of energy used by those systems (networks, Cloud,..). D/R is a global issue!

The best demand response is to be proactive and use radiation heat transfer reducing insulation on the exterior of buildings, ducts, tanks and pipes. Low emissivity, high reflectivity across the full spectrum (not just visible light which is only 40% of the radiation ?? heat transfer spectrum). If this were done stabilized load would be reduced by 35 to 70 percent depending on the climate. Examples of low emissivity coatings are Low-MIT I and II Max by SOLEC.org and high reflectivity coatings like SuperTherm by SPICoatings.com and TC Ceramic by TCCeramic.com Both are ceramic based