Abstract: A method for controlling suction pressure in a vapour compression system including one or more cooling entities is disclosed. For each cooling entity, a maximum required suction pressure and/or a required change in suction pressure for maintaining a target temperature in the refrigerated volume is obtained. A most loaded cooling entity among the one or more cooling entities is identified, based on the maximum required suction pressures and/or the required changes in suction pressure. The suction pressure of the vapour compression system is controlled in accordance with the maximum required suction pressure and/or required change in suction pressure for the identified most loaded cooling entity.

Abstract: A method for controlling suction pressure in a vapour compression system (1) comprising one or more cooling entities (5) is disclosed. For each cooling entity (5), a maximum required suction pressure and/or a required change in suction pressure for maintaining a target temperature in the refrigerated volume is obtained. A most loaded cooling entity (5) among the one or more cooling entities (5) is identified, based on the maximum required suction pressures and/or the required changes in suction pressure. The suction pressure of the vapour compression system (1) is controlled in accordance with the maximum required suction pressure and/or required change in suction pressure for the identified most loaded cooling entity (5).

Abstract: The invention relates to a method of operating at least one distributed energy resource comprising a refrigeration system (1) with a number of cooling entities, wherein a power consumption information is communicated to a smart-grid setup (SG).

Abstract: The invention relates to a method of operating at least one distributed energy resource comprising a refrigeration system (1) with a number of cooling entities, wherein a power consumption information is communicated to a smart-grid setup (SG).

Abstract: A method for controlling operation of a refrigeration system (1), including one or more refrigeration entities (4), is disclosed. Each entity controller (7) obtains a measure for an error value between the measured value of a compressor control parameter and a setpoint value (8) for the compressor control parameter, and each entity controller (7) adjusts a refrigeration load of the corresponding refrigeration entity (4) to correspond to a cooling capacity of the compressor(s) (2), and in accordance with the obtained measure for an error value.

Abstract: The invention describes energy cost saving potentials in a food retail system in context with a smart grid system utilising thermal storage and heat recovery technology. The invention is based on case examples and theoretical studies to describe the technology advantages. To obtain the cost optimisation in complex refrigeration systems, a method for minimisation of cost is described.

Abstract: A method for controlling operation of a refrigeration system (1), comprising one or more refrigeration entities (4), is disclosed. Each entity controller (7) obtains a measure for an error value between the measured value of a compressor control parameter and a setpoint value (8) for the compressor control parameter, and each entity controller (7) adjusts a refrigeration load of the corresponding refrigeration entity (4) to correspond to a cooling capacity of the compressor(s) (2), and in accordance with the obtained measure for an error value.