A power supply control system includes a power supply circuit that supplies power, an electronic component that is operable by the power supplied from the power supply circuit, starts shutdown processing in response to an input of a stop instruction signal, and operates when an operation instruction signal is input, and a signal control circuit that receives a power input state signal or a power cutoff state signal as a power state signal indicating a state of the power supply circuit, outputs the stop instruction signal when the power cutoff state signal is input, outputs the operation instruction signal when the power input state signal is input, and outputs the stop instruction signal at least during the shutdown processing when the power input state signal is input in a case in which the shutdown processing of the electronic component is not finished.

Disclosed are an electronic device for monitoring an abnormal state of energy consumption and a method of operating the same. The method includes receiving factory data related to product production of a factory and energy used in the factory, determining an energy stability indicator (ESI) indicating an amount of the energy used for the product production based on the factory data, generating a normalized energy stability indicator distribution (ESID) with respect to a preset time period based on the ESI, determining a distribution difference by comparing the generated ESID and a reference distribution predetermined for energy consumption of the factory, and outputting one or more observed variables for monitoring an abnormal state of consumption of the energy with respect to a period in which the distribution difference is large.

In a method for generating a switching sequence in an industrial plant which includes components for transferring the plant to an energy-saving state, a state model of the plant is used with regard to the components and information about a task-specific action schema with regard to the components. An extended state model is determined by supplementing the state model with the task-specific action schema using circuit-relevant variables. The switching sequence is generated from a start state to a desired target state by calculating proceeding from the target state back to the start state in the extended state model, and the switching sequence is executed.

An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) layer that may generate an electrical output, and an electrode coupled to the PV layer that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) material that may generate an electrical output, and an electrode coupled to the PV material that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) material that may generate an electrical output, and an electrode coupled to the PV material that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

An impact-resistant, photovoltaic (IRPV) window system is provided. The system may include an IRPV window coupled to a structure, a controller, and an insurance computing device. The IRPV window may include an impact resistant (IR) layer, a photovoltaic (PV) material that may generate an electrical output, and an electrode coupled to the PV material that may receive the electrical output. The IRPV window may permit a portion of visible light to pass through the IRPV window. The controller may monitor the electrical output and generate a solar profile of the structure based upon the electrical output. The insurance computing device may receive the solar profile and determine if an insurance policy associated with the structure is eligible for a policy adjustment and/or an insurance reward or discount offer.

A building energy system includes equipment and an asset allocator configured to determine an optimal allocation of energy loads across the equipment over a prediction horizon. The asset allocator generates several potential scenarios and generates an individual cost function for each potential scenario. Each potential scenario includes a predicted load required by the building and predicted prices for input resources. Each individual cost function includes a cost of purchasing the input resources from utility suppliers. The asset allocator generates a resource balance constraint and solves an optimization problem to determine the optimal allocation of the energy loads across the equipment. Solving the optimization problem includes optimizing an overall cost function that includes a weighted sum of individual cost functions for each potential scenario subject to the resource balance constraint for each potential scenario. The asset allocator controls the equipment to achieve the optimal allocation of energy loads.

According to at least one exemplary embodiment a method for determining the carbon footprint of a manufactured item may be provided. The method may begin by determining one or more subcomponent carbon footprint (UMX) values based on a carbon footprint associated with the one or more subcomponents. Then the subcomponent UMX value may be associated with the subcomponent through a subcomponent identifier. The process may then be repeated for each of one or more subsequent components and/or final products. According to at least one exemplary embodiment a file type for management of carbon footprint in multi-tiered supply chains for manufacturing operations may be provided. The file type may take one or more inputs from an input screen and generate a SCARF output file which may include at least carbon footprint data.

An apparatus, method and computer program product for scheduling on/off control of equipment. The method implements an iterative approach that uses one objective and sets a tolerance value on the other objectives. Initially, the method computes the value of the different objective functions given a current feasible solution. The different objective functions are iteratively evaluated with respect to the current solution and a margin is set for every objective at each iteration. The margin is a deviation measure indicating the acceptable range by which each objective can be worsened. The method iteratively optimizes each objective function with respect to one of the objectives, following an order, while enforcing a maximum deviation on the other objective functions by setting them as constraints. The allowable deviation margin is then decreased for all the objective functions. A final output schedule is provided from which signals may be generated to automatically turn on/off the equipment.