Specialty of the Solar Sensor Room Light Controller

Discuss about the Operation of Solar Radiation Resource Assessment.

The automatic room light controller using solar sensors  and panels provides the sustainable outcome as it uses the renewable energy to provide the service. The implementation of this system for the daily use for the individual and for the organization  is needed to be evaluated on the basis of the operational advantage as well as the financial advantage (Georgiou and Skarlatos 2016). The main work of the investor is to  analysis the investment on the  basis of certain factors regarding the use and the implementation of the system. In case of implementing the solar sensors in controlling the room lights the investment will be considered successful if the system delivers a good return on investment. This paper will evaluate the effectiveness of the implementation of room light controller using the solar sensors and panels from the perspective of an investor.

The main aim is to evaluate the investment regarding the implementation of the solar sensors on the terms of the investment. The analysis will indicate whether the investment will be a good investment or a bad investment (Hahn 2015). The investment will be evaluated on the basis of some attributes. Before the evaluation of those attributes, the  specialty of the  system is needed to be discussed.

The solar sensor system for controlling  the room lights are said to be cost effective and  power saving in nature. The improvement of the living standard is done through the use of this technology as solar sensor uses the advantage of the natural light. In the other words , the system uses the renewable energy which is good for the environment and the society.

Cost: The cost of making the system is not very high as the main resource is the natural light.  The lowering of the making cost helps the pricing of the solar sensor to stay within the range of the budget of the common people.

Target market: Evaluation of the target market is important as it indicates the success of the product. The opportunity that has been found regarding the solar sensor includes developed and the developing countries, as the energy management has become an important issue in those countries. The offices and the households will also become interested to use this sensor (Santos et al., 2014). The target market for this product in the future has wide potential, as this type of energy saving sensor can widely used in the Internet of Things devices.

Analysis of Target Market

Identifying the target market:  On the basis of these attributes Brisbane has been chosen as the target market for its geographical aspect. This area has long sunshine hours that increases the effectiveness of the solar sensor. The people living here maintain the high quality of the living standard, moreover the target entity for the product is the offices and the households (Kumaretet et al., 2014). In that case, Brisbane has the major business hubs. The demand for the sustainable way of the living is high in this area as Brisbane suffers from the hole in ozone layer (Byrne et al., 2017). In this case the acceptability of the solar sensor will be high. The success of the business in the Brisbane can make the Gold Coast as the next destination for the marketing.

Feasibility of the product: The feasibility of the product can be considered for evaluating  opportunity for the product (Shouman 2016). The solar sensor room light controller has wider market opportunity as the using of the sunlight is the main resource for the product (Dieleman et al, 2015). The working principal of the product support sthe use of the renewable energy, and this specialty of the product will help to catch the major portion of the market.

The innovation can be feasible as it uses the sun light as the source of energy for the functioning. The Brisbane has the long day time so it will not be a problem for the system to get enough natural light to operate.

Marketing strategy: The analysis of the product launching organization is needed to be done before entering into the market for doing business (Erasmus and Bagula 2016). In order to identify the opportunities the SWOT analysis can be done for the organization. The place selected for the launching of the product is a right choice as the people in the Brisbane have the high living standards and they can afford the implementation cost of the product.

The main strength of the product is that the system is easy to control and this automatic system saves power. These attributes of the product will make the consumers interested to buy the product. On the market perspective the organization will gain the advantage after the launching of this kinds of system as there are less competitive and the users are getting inclined towards the use of renewable energy. Apart from that the policy that supports the development of the new business will help the organization to expand the business and modification of the solar sensor can be carried out.

Feasibility of the Product

Sustainability of the product: The product is sustain able enough as it operates with the help of the natural sun light. The solar sensor system supports the use of the renewable energy which is beneficial for both the environment and the improvement of the lifestyle of people.

Selection of the team of the presenter of the product: The organization has good strength of human resource for development and launching of the product (Rubert,Niewczas and McMillan 2016). The organization has divided the whole unit of the human resource into three categories-technical, soft skill and a dedicated team for financing and the marketing of the product. The technical team will be dedicated for making of the product, the soft skill of the organization will help to do the networks which includes finding the sponsors and making communication with the possible consumers. The marketing of the product is done by the finance and marketing team.

Evaluating all the aspects related to the launching of the solar sensor room light controller it can be said that the launching of the product will be profitable for the organization as the cost price of the making the system is low, while the consumers with high living standards are ready to invest a good amount for the implementation of this new product which supports the use of the renewable energy. It indicate the good return on investment plan (Costa,Diniz and Kazmerski  2016). Moreover the market condition and the future prospect for this product is positive. The overall evaluation of the situation strongly supports  the investment for the room light controlling solar sensor.

The outcome of the analysis: The outcome of the analysis indicates making the investment for the solar sensor is a good investment as it has great future scope on the basis of the business perspective.

Terms of the investment: The investment regarding the solar sensor can be considered as the long term investment a sthe products gives the sustainable service and there is a chance that the use of the product will increase in future.

Feedback to the presentation: The presentation given in the file has helped to develop the ideas regarding the good investment and the analysis is based on the concepts mentioned in the presentation.

Conclusion

It can be concluded from the above discussion that the investment regarding the solar sensor can be a good thing for the investment . The product delivers sustainable outcome along with that the cost of making the system is also low

References

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Costa, S.C., Diniz, A.S.A. and Kazmerski, L.L., 2016. Dust and soiling issues and impacts relating to solar energy systems: Literature review update for 2012–2015. Renewable and Sustainable Energy Reviews, 63, pp.33-61.

Dieleman, J.A., de Gelder, A., Kempkes, F.L.K., Hemming, S., Balendonck, J., Swinkels, G.L.A.M., De Visser, P.H.B. and De Zwart, H.F., 2015, July. Innovations in greenhouse systems-energy conservation by system design, sensors and decision support systems. In International Symposium on New Technologies and Management for Greenhouses-GreenSys2015 1170 (pp. 1-16).

Erasmus, Z. and Bagula, A., 2016, May. Remote sensor network for off-grid renewable energy monitoring. In IST-Africa Week Conference, 2016 (pp. 1-14). IEEE.

Georgiou, A.G. and Skarlatos, D., 2016. Optimal site selection for sitting a solar park using multi-criteria decision analysis and geographical information systems.

Hahn, W.J., 2015. Making decisions with multiple criteria: a case in energy sustainability planning. EURO Journal on Decision Processes, 3(1-2), pp.161-185.

Kumar, A., Gomathinayagam, S., Giridhar, G., Mitra, I., Vashistha, R., Meyer, R., Schwandt, M. and Chhatbar, K., 2014. Field experiences with the operation of solar radiation resource assessment stations in India. Energy Procedia, 49, pp.2351-2361.

Rubert, T., Niewczas, P. and McMillan, D., 2016, March. Life extension for wind turbine structures and foundations. In International Conference on Offshore Renewable Energy 2016.

Santos, T., Gomes, N., Freire, S., Brito, M.C., Santos, L. and Tenedório, J.A., 2014. Applications of solar mapping in the urban environment. Applied Geography, 51, pp.48-57.

Shouman, E.R., 2016. Forecast Renewable Energy for Electricity to Assist Decision Makers with Case study-Economics Solar Energy for Electricity Supply in Rural Areas in Egypt. International Journal of Applied Engineering Research, 11(5), pp.3596-3604.