Public Funding for Duckduck Ltd

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

DuckDuck and and the Energy Research Insititute at Chulalongkorn University in Thailand are working with I-ON (South Korea) to understand how Demand Response and distributed solar power can be combined to contribute to the growth in solar production. Under Demand Response schemes, electricity users (factories, offices, households etc.) are paid to temporarily reduce their demand when the electricity grid is under strain. Solar power is intermittent (the sun shines when it shines), but aggregated Demand Response can help balance out solar power's variability. The consortium is using predictive algorithms to aggregate many small and inconsistent electrical loads into large predictable loads which can be offered for demand response. This can then be assessed in trials, by testing various demand response schemes.

Every winter we have warnings about blackouts, and the energy supply will become more intermittent as more wind and solar come on stream. People are aware of the energy challenge, but don’t have many opportunities to really make a difference. Demand Response shifts the electricity consumption of factories, offices and households, who get compensated for doing so. This balances out demand spikes and peaks, and intermittent wind and solar. DuckDuck and Xsilon are building an Auxiliary Load Control Switch for Demand Response, to fit with the UK smart meter architecture. This enables housholds to contribute to a greener & more robust energy system.

Blackouts are a regular occurrence in India, especially in rural areas. The average village has electricity for less than 16 hours per day. Demand Response (shifting non-essential use to off-peak times) is one of the ways to reduce the incidence and length of blackouts. Demand Response is gaining ground in India, especially in urban area, where the distribution grid is available. One of the primary causes of the mid-day demand peaks are domestic air conditioning units. At the moment only 2-3% of Indian households have air conditioning (US 87%, urban China 100%), but already 50% of the summer mid-day peak in Delhi is cause by these air con units. The market for domestic air con is growing by 20-30% per year, exacerbating the incidence of blackouts. We want to see how air con units can be managed under DR schemes to reduce the peaks, and either eliminate or shorten the resulting blackouts. DuckDuck is working with I-ON, a South Korean DR software company, and Kochartech, an Indian tech company, to conduct interviews and a small domestic trial.

The aim of this project is test the feasibility of a simple, automated way for households to become involved in saving energy when the electricity network is stretched, which can happen many times a year. This can be done via an internet-enabled smart plug connected to the fridge, which would switch it off (and back on) for a short time, on command from the National Grid. Households get paid for this, and some may donate this cash back to charity to buy the same plugs for a fuel- poor household (who would get paid every year). As part of this project we would run a pilot with housholds to test the functionality and acceptance.