Modeling Renewable Conversion Systems

Introduction

A system in which the energy supply and the systems to supply the demand required for consumption without the use of fossil fuel or any other energy like the nuclear which is not renewable is what is defined as a renewable energy system. In this kind of system the component part of it is the renewable energy being used in the production distribution and consumption of this energy. This can be done in a large scale or small scale basis. Some of the known and practical renewable sources of renewable energy present in the market include the wind power, solar energy and the generation of power from the energy from the oceans waves although the latter is relatively less explored in relation to the previous two.

The renewable energy is relatively new in the world in terms of implementing its use and harnessing. The production of this energy in the large scale requires more details than in the small scale because it requires more systems in the production chain and the rest of the process including supply for it to qualify as a renewable energy system. This is very important in maintaining these standards which have been set especially in the production of electricity. In the design stage of the process a lot of factors have to be considered like the storage methods to be used and hoe the conversion process is going to be done.

The measure for the renewable energy is normally compared with other technologies instead of the fossil fuels like in the measurement of efficiency. For efficiency, the system will have to have efficiency, the conservation rate that will be achieved, and the improvements that can be done and the amount of biomass resources being consumed. The whole process is complicated because the conversion technologies being employed and the storage mechanism being used will have to be measured carefully before being applied in the system¹. In this system, the generation of the energy is controllable with the generation of the energy is normally done I the real time while the transmission system should be actively opened with the distribution system needing no active operation to run.

History of modeling renewable energy systems

The world has slowly been changing in energy consumption patterns in the last century. The patterns have been very high in the recent times which has led to the carbon out put being so high which has lead to the increased activism on the need for the alternative energy which has little or no carbon signature in the atmosphere. This demand led to more research being done on the renewable energy hence more information and development of the simulators for the renewable energy systems. Most of the energy being produced using this kind of system in mainly electrical energy.  The other main reason for further study in this renewable systems in because non renewable are very costly in extraction hence the need for environment friendly and more economical alternative. 

Today on the global scale the rate and number of renewable energy simulators are quite popular with various models being employed. The essentials in the design of such systems is very important and require the hourly calculations to be done for accuracy leading to the increased demand of the simulator is be used in trying to calculate the same before the actual implementation of such a system comes onto place. Some of the factors to be used in the modeling of some of these systems include the biomass which is the source of power which is being used and the amount of residue and combustible material being employed.  The end product of the creation of such simulators is the predictions of the expected constraints and the best option in resolving the coming problems. The structure of the simulators is such that it gives the prediction required for the assessment and stability of any project that will be set up in the renewable energy sector. The development will also assist in the creation of new methods to be used in the advancement of the technology to better its efficiency. Through this the researchers who began this hopped that in the long run some of the earlier technicalities encountered will be sorted out by providing  a fundamental insight in the expected generation of energy and advancing of the technology used to ensure it has longevity and reliability. The need for computing  some of the facts on the ground imply that it will improve the efficiency of some of the systems while making sure that the techniques being employed have stability and the formation is as effective as possible to ensure the maximum productivity in any scenario.

Challenges

In the course of the development of some of these future technological ideas there are some constraints and challenges that seem to impede the development required in the particular situations. The lack of adequate computing theories to be applied in each is a major stumbling block as each situation has different variants that have to be put into perspective and the suitable solutions be created without increasing the carbon print being created by each system as if this occurs, it will result in the loss of the renewable system standards required and set for it to fall into these class in stead of the non renewable source.

Optimization of Performance

Most of the renewable sources always look like they very cheap as due to the lack of a fuel cost. What is overlooked is that most of them have a lot of variables which might arise at any time and other issues like lack of consistence which have to cater for when trying to optimize the output of any design being created. The variables which have to be considered include maintaining the constant supply of the energy being produced which for example might be electrical.  Some of the renewable energy resources which are can be used for the large scale production like wind, solar and waves from the ocean don't have consistency, how will this issue be catered for in the design to ensure a supply that is ever present if the system is going to be implemented because its made in manner that is for the long term and full time use unlike in the past when it was set up on a small scale and part time basis.

Design optimization

To ensure the design being modeled has efficiency and reliability some facts about the area in which it is to be set up have to be considered. However this is not enough, the need for maximum output from the system is very important because if it is running below the expected output it will result in a situation of not being cost effective which can lead to its eventual shut down due to the failure in the achievement of the set targets at the beginning of the creation of the intended system. The simulators come in handy in such situations as through them it is easy to focus and find on the constraints which may arise and the best possible options and alternatives which can be employed to bolster the output or capacity of the intended design.

The identification of some of the foreseen stumbling blocks can facilitate easily the design of new methodologies which can be used to facilitate the necessary and much required changes either in the design of the system or the processes employed to ensure he required capacity output is achieved within the set conditions. This can be best achieved by understanding the effects of the process of the systems which are being designed and if it is not the required ones he alternative features to be added or removed from the models being designed to ensure the same is met. This will be done by elimination of some of the challenges which may be encountered in the process of design or design optimization like the lack of reliable or adequate tools which will be used in the various computation theories and approaches which will be employed in the various structures which will be included in the systems. The necessity of proper methods can not be over emphasized in the striving to achieve the intended optimized output.

Model reliability

To ensure the models which are designed to be used in this there need to look at the factors which are crucial and affect most of the renewable energy sources especially in the community and the best option in alleviating them. Some of the factors which will be looked into in analysis of the renewable energy include the size of the renewable energy, size of the system to employ in each case and eligibility of the community to be involved in the modeling and the generation. Other factors which will also be looked into will include the affected and how to go about the compensation and the expected benefits from the continued running of the design in relation to the resources that were allocated for the same exercise.

For the reliability of a model the need to have experienced people with adequate knowledge in the running of the program of the design is very crucial the lack of the same will lead to exclusion of some factors and this will affect the productivity and output of the system being designed to be set up with the long run eventuality of being shut down. The need for nor only virtual testing but on the ground test programs is also very crucial as in the virtual situation some factors maybe excluded like activities of the community and other natural occurrences which in such cases cannot be measured or foreseen. The utilities to be put in place on the site have to be seriously considered in terms of the expected cost, ad this has to be related to the systems which will be put in place where the utility expected needs to be administered in relation to the community which is being affected or part of the design content.