Operational Constraints Sample Clauses

Operational Constraints. Constraints on the operation of the Units or a Project that are needed to meet any requirement due to the HCP, regulations, laws, court orders, authority, safety, or Operating Agreements, or to minimize equipment wear, maintain equipment, or repair/replace equipment, or that are due to any other event or circumstance described in this Appendix A or in the Contract. Pacific Northwest Coordination Agreement (PNCA) – The agreement among Northwest parties for the coordinated operation of the Columbia River system on a seasonal and monthly basis. The PNCA defines the firm energy output of Rocky Reach and Rock Island as well as other rights and obligations, including provisional energy, interchange energy, in-lieu energy, and others defined in the contract. The PNCA does not allow resources above the head works of Bonneville Dam to be removed from coordination, and currently all Capacity and Energy of Rocky Reach and Rock Island are included in PNCA planning. PNCA serves as a settlement of the Federal Power Act Section 10(f) obligation to reimburse upstream Federal projects for energy gains as a result of the storage provided, as well as a FERC approved settlement among all Non-Federal parties for upstream benefit payments.
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Operational Constraints. Limitations on the ability of the Transmission System to operate due to any system emergency, loading condition, or maintenance outage on the Transmission Provider facilities, or on facilities of an interconnected utility, that makes it prudent to reduce Transmission System loadings, whether or not all facilities are in service.
Operational Constraints. The Consultant shall take into consideration the Client’s operational requirements during the project implementation. The Consultant shall provide the works in a way not to interrupt the plant system activities or to minimize the outages. The works shall be carried out in accordance with the Schedule approved by the Client.
Operational Constraints a) The Contractor shall have clear markings indicating the Contractors name and phone number on all equipment used in this contract
Operational Constraints. It is recognised that the implementation of this Memorandum of Understanding will in every case be dependent upon the availability of necessary resources, either from within the Institutions or from external sources. University of Guelph participation will also be consistent with the University of Guelph policies relating to international activities. Exchange students and academic staff are required to purchase health insurance as required by the host Institution or country.
Operational Constraints. 10.1 It is recognized that the implementation of Program activities under this Agreement will in every case be dependent upon the availability of necessary resources.
Operational Constraints. 2.3.6 TRAINING (SATELLITE SYSTEM FEATURES/PERFORMANCE) The Contractor shall conduct a training course for the Purchaser's satellite operators. This course shall be conducted for experienced personnel at the Contractor's satellite control facilities and shall be structured to train the Purchaser and its assigned personnel to operate and maintain the in-orbit satellites. The Training Course Program Plan will be provided to the customer for his review and approval. The course shall include training in satellite system features and performance, all Dynamic Spacecraft Simulator hardware and software provided by SS/L, and operational maintenance. The classroom course will prepare experienced personnel to operate the satellites. USE OR DISCLOSURE OF THE DATA CONTAINED ON THIS SHEET IS SUBJECT TO THE RESTRICTION ON THE TITLE PAGE.
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Operational Constraints. The operational constraints of the Unit(s) shall be those set forth in response to the RFO on Appendix F. Delivery Point The "Delivery Point" for any non-QF is a specified interconnection point on PG&E's transmission system (to be specified by Seller in Appendix F) within what is presently defined as NP15. The point of interconnection of the substation must be within the CAISO-controlled grid. For QFs, the "Delivery Point" (the point of interconnection) must be within PG&E's service territory (NP15 or ZP26). Electric Interconnection and Transmission Service Seller shall be responsible for all costs related to upgrades to transmission facilities and construction of interconnection facilities required to interconnect the Unit(s) to the Delivery Point and enable Energy to be delivered to the grid at the Delivery Point, consistent with all standards and provisions set forth by the FERC, CAISO or any other applicable governing agency and the interconnecting transmission owner. Seller will be responsible for funding any upgrade(s) to the transmission network as required by the CAISO and be entitled to receive a funding return, if applicable, pursuant to its arrangements with, and the applicable tariffs of, the transmission owner and the CAISO. Regardless of whether PG&E is the interconnecting transmission owner, PG&E in its capacity as Buyer shall not be responsible for Seller's interconnection arrangements or costs. Seller shall be responsible for the costs of delivering its power to the Delivery Point consistent with all standards and provisions set forth by the FERC, CAISO or any other applicable governing agency or tariff. Gas Interconnection Seller shall be responsible for all costs related to upgrades to transmission facilities and construction of interconnection facilities required to interconnect the Unit(s) to the natural gas system and enable delivery of fuel to the Unit(s), consistent with all standards and provisions set forth by the FERC, CPUC, California Department of Transportation or any other applicable governing agency. (For non-gas facilities, Seller also shall be responsible for all fuel delivery facilities).
Operational Constraints. CDWR's ability to schedule and dispatch the Contract Quantity shall be subject to the following constraints: Minimum Run Time: 12 consecutive hrs/day at Minimum Load Level or greater. Minimum Load Level: Shall be determined annually for the Project as a component of the Test performed in accordance with Special Condition 5. The methodology for determination of such Minimum Load Level is set forth on Exhibit V. If less than three combustion turbines are expected to be available on any day, HDPP will notify CDWR of the resulting Minimum Load Level by 5:00 A.M. Pacific prevailing time on such day. Ramp Rates from/to Minimum Load Level: 4 MW per minute Start Time: 5 Hours HDPP shall provide CDWR quantities of energy to be provided each of the five hours of the start up cycle as soon as practicable after finalization of start-up procedures by HDPP's Engineering Procurement Construction ("EPC") contractor. Shut Down Time: 1 Hour Shut Down Quantity: 143 MWhrs for the 1 hour shut down cycle. No scheduling during Planned Maintenance Outage.
Operational Constraints. The direct approach to deal with operational constraints is to include all of them explicitly in the classical formulation of the problem. The most crucial of the operational constraints can be modelled as set packing constraints such that the problem can be tackled by constraint branching techniques. Another possibility is to model operational constraints by “virtual connections”, leading to disjunctive constraints. In both models, the number of variables and of constraints increases dramatically. Since our goal is to develop online and real-time algorithms, solving these extended models exactly is out of reach. The solution approach we investigate is based on the following notion of robustness. Instead of considering all operational constraints directly, we create a small set of more abstract constraints which are easier to handle and still capture the important aspects of all the operational constraints adequately. The resulting solution must then be modified by a heuristic to ensure feasibility with respect to all operational constraints. Two main tasks have hence to be solved. First, a representation of the operational constraints by a reasonably sized set of simplified constraints has to be derived. To this end, we try to identify dependencies of delays based on a statistical analysis of real world data. Second, an efficient procedure needs to be developed that finds solutions in the simplified model for which only few modifications are necessary, i.e., that satisfy most of the neglected constraints. One approach is to use methods of project planning where few disjunctive constraints can be modelled as alternative edges.
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